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Agentforce
Secure the front door. Email is where most attacks arrive — Agentforce is Salesforce’s agentic AI platform — build & deploy autonomous AI agents that reason and ACT (complete multi-step work), grounded in your trusted data (Data 360), within guardrails, across sales, service, marketing, voice & Slack. AI ‘digital labour’.
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How it’s rated
Full scoreboard ↓Quick answer
The Salesforce platform family
This page covers Agentforce — the agentic AI platform. The rest of the Salesforce platform:
Quick facts
30-second orientation- Product
- Agentforce — the agentic AI platform
- Vendor
- Salesforce (founded 1999 · NYSE: CRM)
- The category
- Agentic AI (autonomous AI agents)
- What it does
- Build & deploy AI agents that reason and ACT
- The brain
- Atlas Reasoning Engine (beyond Einstein)
- The fuel
- Grounded in Data Cloud (Data 360) + your knowledge
- Built in
- Agent Builder (plain-language config)
- The rebrand
- Whole platform = 'Agentforce 360' (was Customer 360)
- Vs
- Microsoft Copilot, ServiceNow AI, Google (often alongside)
- In India via
- TechBag — scoping, licensing, GST
Understand agentic AI before you buy it
Most product pages skip this. We start here — so you buy a capability, not a buzzword.
What is Agentforce?
Salesforce’s agentic AI platform — build & deploy autonomous AI agents that reason and ACT (complete multi-step work), grounded in your trusted data (Data 360), within guardrails, across sales, service, marketing, voice & Slack.
Chatbots & copilots vs Agentforce agents \u2014 the honest table
What consolidation actually replaces, dimension by dimension.
| Dimension | Unprotected / signature email | Agentforce (Salesforce) |
|---|---|---|
| AI role | Assist (suggest, draft) | ACT — autonomous agents do work |
| Reasoning | Answer a question | Reason multi-step & act (Atlas) |
| Grounding | Hallucinate on partial data | Grounded in Data 360 (trusted) |
| Actions | Just talk | Take real actions (data, APIs) |
| Where | Isolated chatbot | Native to CRM (where work is) |
| Safety | Ungoverned | Guardrails + trust layer |
| Channels | Chat only | CRM, voice, Slack |
| Maturity | (new) | Powerful, evolving — adopt thoughtfully |
Agentforce is Salesforce’s agentic AI platform — autonomous AI agents that reason and ACT (complete work), grounded in trusted data (Data 360), within guardrails, across CRM, voice & Slack. Honest caveats: it’s new (needs good data + guardrails), its consumption pricing is evolving, and it runs ALONGSIDE Copilot (productivity) & ServiceNow (IT), not instead. TechBag builds the foundation, sets guardrails, scopes cost, handles GST.
The five pieces of the platform
Vendors love diagrams; buyers need to know what they’re actually operating. Here’s the whole platform, demystified.
Agent Builder
Build AI agents in Agent Builder — configured in plain, natural language — defining what an agent does, the topics and actions it handles, and its guardrails. So you create custom agents for your processes without heavy coding. Describe the agent; deploy it. AI agents, built by your team.
Atlas Reasoning Engine
The Atlas Reasoning Engine — the 'brain' (an evolution beyond Einstein/Copilot) — lets agents REASON through complex, multi-step tasks and take actions, not just answer. So agents handle real work autonomously, thinking through the steps. Reasoning, not just responding.
Grounded in Data 360
Agents are grounded in your trusted data via Data Cloud (Data 360) and your knowledge — so they reason and act on a complete, real-time, accurate view of the customer and business, NOT hallucinations. Good agents need good data. Trustworthy because grounded.
Actions & Guardrails
Agents take real ACTIONS — via your Salesforce data, APIs (MuleSoft), and business logic — within the GUARDRAILS and rules you define (what they can/can't do, when to escalate to a human). So agents do real work, safely and within bounds. Autonomous, but governed.
Everywhere — CRM, voice, Slack
Deploy agents across the business — sales, service, marketing, commerce — and through channels: customer-facing (web, messaging), voice (Agentforce voice agents), and in Slack (the 'agentic OS' where humans and agents collaborate). Agents wherever work happens. AI 'digital labour', everywhere.
One agent on every machine, one console over all of them — modules attach without a second operational world.
Twelve capabilities. Build, reason, deploy.
Agentforce builds autonomous AI agents that reason and ACT — grounded in your trusted data, within guardrails — the agentic-AI heart of portfolio, and paired with the human firewall.
Agent Builder (Low-Code)
Build and customise AI agents in plain, natural language — define their role, topics, actions and guardrails — so your team creates agents for your processes without heavy coding. Describe it, deploy it. Agents your team can build.
Prebuilt & Custom Agents
Start with prebuilt agents (AI SDR, AI service agent, and more) or build your own for any process — across sales, service, marketing, commerce and beyond. Ready-made and bespoke. Agents for every job.
Topics, Actions & Skills
Define an agent's topics (what it handles) and actions (what it can do — look up data, take steps, call APIs), so it knows its job and its tools. The building blocks of a capable agent. Give agents jobs and tools.
Atlas Reasoning Engine
The 'brain' — the Atlas Reasoning Engine (beyond Einstein/Copilot) — lets agents REASON through complex, multi-step tasks and decide the right actions, not just answer a question. Real reasoning, real work. The intelligence that acts.
Grounded in Data 360 & Knowledge
Agents reason and act on your trusted data (Data Cloud / Data 360) and knowledge — a complete, real-time, accurate view — so they're grounded and trustworthy, NOT hallucinating. The foundation of trustworthy agents. Grounded in truth.
Guardrails & Trust Layer
Agents operate within GUARDRAILS — what they can/can't do, business rules, and when to escalate to a human — with Salesforce's trust layer (security, privacy, and safeguards). Autonomous, but safe and governed. Power, with control.
Actions (Data, APIs, MuleSoft)
Agents take real actions — using your Salesforce data, flows and APIs (via MuleSoft) and business logic — so they don't just talk, they DO (process a return, update an order, book a meeting). Agents that act on your systems. Real work, done.
Sales, Service, Marketing & Beyond
Deploy agents across the business — an AI SDR (sales), an AI service agent (support), an AI marketing agent (campaigns), and custom agents for any process — all on one platform, grounded in one customer view. Agents everywhere work happens. One platform, many agents.
Agentforce Voice
Agentforce voice agents bring AI to the phone — handling calls, answering and resolving, and assisting human agents in real time — so AI 'digital labour' extends to voice. AI on the phone, done well. Voice, agentic.
Agents in Slack (the 'agentic OS')
Deploy agents in Slack — positioned as the 'agentic OS' where humans and AI agents collaborate — so agents are where your teams already work, @-mentioned and assigned tasks. Humans and agents, together in Slack. Collaboration, with AI teammates.
Beyond Einstein / Copilot
Agentforce is the evolution of Salesforce's AI — Einstein (predictive AI) is now the underlying ML, and Agentforce is the AGENT layer that acts (superseding the earlier Einstein Copilot assistant). From assistant to autonomous agent. The next step in enterprise AI.
AgentExchange & Ecosystem
A growing ecosystem — agent actions, templates, and partner integrations (AgentExchange) — extends what agents can do and connects them to your stack. Build on the ecosystem. Agents, extended.
Watch Agentforce in action
The overview, getting started, and protecting M365 email.
What Is Agentforce and How Businesses Use AI Agents
Agentforce, explained in plain terms.
How Does Agentforce Work? AI Agent Demo
See an AI agent reason and act.
What is Salesforce?
The platform Agentforce sits on.
Want a live, India-context walkthrough on your own fleet?
Book a guided demo →The endpoint catches what arrives. Email stops it arriving.
Here’s what genuinely sets Agentforce apart (and how it fits among your AI).
From assistant to AGENT — AI that reasons and acts
The core reason Agentforce matters is that it moves AI from ASSISTING (suggesting, drafting, answering) to ACTING — autonomous agents that reason through multi-step work and complete it on their own, within your guardrails. This is the biggest shift in enterprise AI, and Salesforce's flagship bet. The shift: the first wave of enterprise AI ASSISTED humans — chatbots answered questions, copilots suggested and drafted. Useful, but limited: a human still had to do the work. The next wave is AGENTIC — AI that doesn't just suggest, but REASONS through a task and ACTS to complete it: looking up data, deciding steps, taking actions across systems, and finishing the job (escalating to a human only when needed). This is 'digital labour' — AI agents doing real work alongside humans — and it's transformative. What Agentforce provides: Autonomous agents — that reason and act, completing multi-step work (not just answering): an AI SDR that engages and qualifies leads and books meetings; an AI service agent that resolves a customer issue end-to-end (looking up the order, processing the return, confirming); an AI marketing agent that builds a campaign; custom agents for your processes. The Atlas Reasoning Engine — the 'brain' that lets agents reason through complex, multi-step tasks and decide actions (an evolution beyond Einstein/Copilot). Real actions — agents act on your data and systems (via APIs/MuleSoft), so they DO, not just talk. 24/7, at scale — agents work continuously, expanding your capacity. So Agentforce turns AI into a workforce of 'digital labour' — agents that do real work, alongside your people. Why it matters: agentic AI is a genuine capacity and productivity transformation — agents handle high-volume, multi-step work autonomously (engaging leads, resolving issues, building campaigns), 24/7, freeing humans for high-value work and expanding what a team can do. It's why Salesforce bet its whole strategy (and brand) on it. For organisations wanting to scale their capacity with AI that actually DOES work — not just assists — Agentforce is the leading agentic platform for customer-facing work. The value: Agentforce moves AI from assisting to ACTING — autonomous agents that reason and complete multi-step work, 'digital labour' alongside your people. For the agentic era, this matters. TechBag helps organisations adopt agentic AI with Agentforce. TechBag helps you put AI agents to real work.
Grounded in your data — trustworthy, not hallucinating
A defining strength of Agentforce is that its agents are GROUNDED in your trusted data (Data Cloud / Data 360) and knowledge — so they reason and act on a complete, real-time, accurate view, NOT hallucinations — which is essential for agents that take real actions. The problem it solves: autonomous agents that ACT are powerful but risky if grounded in bad data — an agent working from fragmented, stale or inaccurate information will give wrong answers, take wrong actions, or hallucinate. For agents that DO things to real customers (process a refund, update an account), that's not just unhelpful — it's dangerous. So the #1 requirement for trustworthy agentic AI is grounding in complete, accurate, real-time data and clear guardrails. What Agentforce provides: Grounded in Data 360 — agents reason and act on your unified, real-time customer data (via Data Cloud / Data 360) and your knowledge base, so they have the complete, current, accurate picture — not partial or stale data. Retrieval and context — agents pull the right information for the task, grounded in your systems (not making things up). The trust layer — Salesforce's security, privacy and safety safeguards (data masking, toxicity checks, audit) protect how agents use data and act. Guardrails — you define what agents can and can't do, business rules, and when to escalate to a human — so they act within bounds, safely. So Agentforce agents are trustworthy BECAUSE they're grounded (in real data) and governed (by guardrails and the trust layer) — the difference between a useful enterprise agent and a risky one. Why it matters: grounding and guardrails are what make agentic AI safe and effective for real enterprise use — accurate actions (grounded in truth), reduced hallucination, and controlled behaviour (guardrails, human escalation). Salesforce's key advantage here is the combination of the leading CRM data, Data 360, and the trust layer — so agents act on the best data, safely. For anyone deploying agents that take real actions, this grounding is essential, and it's where Salesforce's data foundation gives Agentforce an edge. The value: Agentforce agents are grounded in your trusted data (Data 360) and knowledge, with a trust layer and guardrails — so they reason and act accurately and safely, not hallucinating. For trustworthy agentic AI, this matters. TechBag helps organisations deploy grounded, governed agents with Agentforce. TechBag helps you make AI agents you can trust.
Built on the #1 CRM — agents where your work and customers are
A key strength of Agentforce is that it's built on the #1 CRM (now 'Agentforce 360', formerly Customer 360) — so agents operate where your customer work and data already live, across sales, service, marketing and commerce, on one platform. The problem it solves: AI agents are only valuable if they can access your business context and take real actions in your systems. A standalone AI agent, disconnected from your CRM and customer data, can't do much for customer-facing work — it doesn't know your customers, can't see your pipeline or cases, and can't take actions in your business. Agents need to live where the work and data are. What Agentforce provides: Native to the #1 CRM — Agentforce is built into Agentforce 360 (the Salesforce platform), so agents operate directly in sales (Sales Cloud), service (Service Cloud), marketing (Marketing Cloud) and commerce — where your customer work happens. Access to CRM data and actions — agents can see and act on your CRM data (leads, cases, orders), grounded in Data 360, and take actions via your flows and APIs. Prebuilt for CRM roles — an AI SDR (sales), AI service agent (support), AI marketing agent — designed for real CRM work out of the box. Across channels — customer-facing (web, messaging), voice (Agentforce voice), and in Slack (where teams collaborate). One platform — agents, data (Data 360), and the CRM apps on one platform, so it's coherent and integrated. So Agentforce agents are useful because they're WHERE the work is — in your CRM, with your data and actions — doing real customer-facing work, not isolated. Why it matters: agents native to the #1 CRM means they have the context (customer data, business processes) and the ability to ACT (in your systems) that make them genuinely useful for customer-facing work — sales, service, marketing. For organisations on Salesforce, this native integration is Agentforce's compelling edge for customer-facing AI (and a big reason it's the frontrunner there). (Honest note: for productivity/IT work, Copilot/ServiceNow may fit better — see below.) The value: Agentforce is built on the #1 CRM (Agentforce 360) — so agents operate where your customer work and data live (sales, service, marketing), with access to CRM data and actions. For customer-facing AI, this matters. TechBag helps organisations deploy CRM-native agents with Agentforce. TechBag helps you put agents where your customer work happens.
The honest note — new, evolving, and one of several AI systems
An honest thing to understand about Agentforce is that agentic AI is powerful but NEW — it needs good data, clear guardrails and thoughtful rollout; its pricing is still evolving; and most enterprises run it ALONGSIDE other AI (Copilot, ServiceNow), not instead. Being clear-eyed here is essential. Why we raise this openly: Agentforce is genuinely transformative and Salesforce's flagship — but a TechBag guide should be honest, and agentic AI is early, its economics are shifting, and it's not the only AI you'll run. Understanding this leads to successful, realistic adoption. It's new and needs foundations: agentic AI that ACTS is powerful but immature — it needs GOOD DATA (hence Data 360's central role — agents on bad data fail), clear GUARDRAILS (what agents can/can't do, human escalation), and thoughtful rollout (start with well-scoped use cases, monitor, expand). Deployed carelessly, agents can act wrongly or underdeliver; deployed well, they're transformative. Data and guardrails first. Pricing is evolving: Agentforce's consumption pricing has changed repeatedly — models include ~$2 per conversation, Flex Credits (consumption, e.g. $500 per 100,000 credits, ~$0.10/action), and per-user licensing — and human agents still need underlying licences beneath the AI. So the cost needs careful, current estimation and monitoring, not a fixed assumption. It's one of several AI systems: honestly, most large enterprises run MULTIPLE AI systems — Agentforce for CRM/customer-facing work, Microsoft Copilot for productivity (M365, Teams, Outlook), ServiceNow AI for IT/enterprise workflows, and Google/others. Agentforce is the leading CRM/customer-agent layer, but it's not the ONLY AI — it usually runs ALONGSIDE these, not instead. Thinking it replaces all AI is a mistake. What to do: ground agents in good data (Data 360), define clear guardrails, start with well-scoped use cases and expand, scope the evolving consumption cost carefully, and position Agentforce as your CUSTOMER-facing agent layer alongside your other AI. This is exactly where a partner adds value. The value: being honest — Agentforce is powerful but new (needs good data, guardrails, thoughtful rollout), its pricing is evolving, and it runs alongside Copilot/ServiceNow, not instead. Realistic adoption is key. TechBag scopes it right — data, guardrails, use cases, cost, and its place among your AI. TechBag helps you adopt agentic AI successfully, with eyes open.
From Salesforce — the agentic frontrunner, with India presence
Agentforce comes from Salesforce — the CRM and cloud pioneer (NYSE: CRM), now the agentic-AI frontrunner for customer-facing work, with strong momentum and India presence — which matters because agentic AI is strategic and fast-moving. The leader and its bet: Salesforce (NYSE: CRM, founded 1999, ~$37.9B FY25 revenue, 150,000+ customers) has made Agentforce its FLAGSHIP strategic bet — rebranding its whole platform as 'Agentforce 360' — and it's the recognised frontrunner for customer-facing agentic AI, with real momentum (Agentforce 2.0 in Feb 2025, Agentforce 360 at Dreamforce 2025, and 6,000+ paid deals since launch, per Salesforce). For a technology moving as fast as agentic AI, having it from the committed leader — investing heavily, integrating deeply with the #1 CRM and Data 360 — provides confidence and capability. Built on data and trust: Agentforce's edge is the combination of the #1 CRM, Data Cloud (Data 360, reinforced by the ~$8B Informatica acquisition), and the trust layer — so agents are grounded in the best data, safely. A complete platform: agents operate across Sales, Service, Marketing and Commerce, via voice and Slack (the 'agentic OS') — one coherent platform for customer-facing AI. India relevance: Salesforce has major India engineering (Hyderabad, Bengaluru and more) and INR pricing — and as Indian enterprises adopt AI, agentic AI grounded in trusted data is increasingly strategic. Via TechBag (Bengaluru-based), Indian organisations get Agentforce with local scoping, licensing and GST invoicing. The value: Agentforce — from Salesforce, the agentic-AI frontrunner for customer-facing work, built on the #1 CRM and Data 360, with strong momentum and India presence — is a strategic, well-backed agentic platform (adopted thoughtfully). TechBag supplies it with local scoping and support. TechBag provides enterprise AI agents, scoped and supported in India.
The honest scope
Agentforce is Salesforce's agentic AI platform — build and deploy autonomous AI agents that REASON and ACT (complete multi-step work), grounded in your trusted data (Data 360) and within guardrails, across sales, service, marketing, commerce, voice and Slack. It's Salesforce's flagship bet ('digital labour') and the centre of the 2025 rebrand ('Agentforce 360'). From the #1 CRM and cloud pioneer (NYSE: CRM). The honest framing — strengths, caveats, and competition: Agentforce's strengths are moving AI from assisting to ACTING (autonomous agents that do real work), grounding in your trusted data (Data 360) and a trust layer (accurate, safe agents — its key edge), being built on the #1 CRM (agents where customer work and data live), the Atlas Reasoning Engine, and the complete platform (voice, Slack). Its honest caveats: agentic AI is NEW (needs good data, guardrails, thoughtful rollout), its consumption pricing is EVOLVING, and it runs ALONGSIDE other AI, not instead. The competitive landscape: Microsoft Copilot (and Copilot Studio) is the productivity-surface leader (M365, Teams, Outlook) — for productivity and Microsoft-stack work, Copilot leads. ServiceNow AI agents are strong for IT and enterprise workflows. Google (Gemini/Vertex) and others compete broadly. The honest reality per analysts: most large enterprises run ALL of these — Agentforce for CRM/customer-facing, Copilot for productivity, ServiceNow for IT — not one instead of the others. So the honest positioning: for CUSTOMER-FACING agentic AI — autonomous agents in sales, service and marketing, grounded in trusted CRM data (Data 360), on the #1 CRM — Agentforce is the frontrunner (especially for Salesforce customers); for productivity, Copilot; for IT workflows, ServiceNow. Agentforce is most compelling for organisations wanting to deploy trustworthy, CRM-native AI agents for customer-facing work — adopted thoughtfully (good data, guardrails), alongside their other AI. TechBag scopes Agentforce honestly — grounding agents in Data 360, setting guardrails, choosing well-scoped use cases, scoping the evolving cost, positioning it among your AI (vs Copilot/ServiceNow), and licensing and supporting it with GST invoicing.
The numbers behind the platform
What your Agentforce journey looks like
Agentic scoping & use cases
Where AI agents add most value (sales? service? marketing?), your data readiness (Data 360 grounding is essential), guardrail needs, and how Agentforce fits ALONGSIDE your other AI (Copilot, ServiceNow). TechBag scopes well-defined use cases and the data foundation.
Ground & build
Ground agents in trusted data (Data 360) and knowledge, then build them in Agent Builder (topics, actions, guardrails) — starting with well-scoped, high-value use cases (e.g. an AI service agent for common cases). Grounded, governed, focused.
Deploy & monitor
Deploy agents (customer-facing, voice, Slack) within guardrails, monitor their behaviour and outcomes, and refine. Autonomous, but watched and improved. Expand as confidence grows.
Scale, cost & govern
Scale to more use cases, manage the evolving consumption cost, strengthen governance, and position Agentforce among your AI. TechBag manages cost and supports you (GST invoicing).
Trusted across regulated industries in 100+ countries
The review scoreboard
Modelled on Gartner Peer Insights structure. *Counts and breakdowns are illustrative pending verified review collection.
Quick poll — what’s driving your evaluation?
Talk to an advisor“Agentforce moved our AI from suggesting to DOING — our AI service agent resolves real cases end-to-end, and our AI SDR engages every lead 24/7. Autonomous agents doing real work alongside our people. That's the shift.”
“The grounding is why we trust it — agents act on our real-time data (Data 360) and knowledge, within guardrails, so they're accurate and safe, not hallucinating. For agents that take real actions, that's essential.”
“Because it's built on our CRM, agents have the customer context and can take real actions in our systems — not an isolated chatbot. Agents where our customer work actually happens. That's what made them useful.”
“Agent Builder let our team create agents in plain language — defining topics, actions and guardrails — without heavy coding. We built agents for our processes ourselves. Accessible agentic AI.”
“Honest: it's new and needs good data and guardrails, and the pricing evolved. TechBag grounded it in Data 360, set guardrails, started with well-scoped use cases, and scoped the cost. Thoughtful rollout made it deliver.”
“We run Agentforce for customer-facing work, Copilot for productivity, and ServiceNow for IT — not one instead of the others. TechBag was honest about that, and positioned Agentforce as our CRM agent layer. Realistic advice.”
“The move from Einstein Copilot (assist) to Agentforce (act) is real — agents now complete multi-step work, grounded in our data. It's the next step, and we're glad we're on the frontrunner for customer-facing AI.”
“Salesforce offers INR pricing, and TechBag handled scoping, guardrails, the Data 360 grounding, licensing and GST. Local expertise made agentic AI real for us as an Indian enterprise — adopted safely.”
Where everyone sits — the grids
Analyst firms bury this view behind paywalls, and G2 retired its Grid. So here’s TechBag’s synthesis of the enterprise / agentic-AI market — tap any vendor to see why it sits where it does.
TechBag Email-Security Grid
Execution strength vs product vision — the classic market map, minus the paywall.
Agentic AI for CRM / customer-facing. This page's product.
Detection × Portfolio Integration
The grid nobody publishes — how strong the email detection is vs how integrated with the wider security portfolio.
CRM-native + grounded + acts.
Positions are TechBag’s illustrative synthesis of public review-platform data and vendor documentation — not a reproduction of any analyst graphic. Verify before relying on it.
Agentforce vs the enterprise-AI field
Microsoft Copilot, ServiceNow AI, Google/AWS and custom frameworks — honest lanes; the edge is CRM-native, grounded (Data 360), acting agents. Productivity? Copilot. IT workflow? ServiceNow. Honest reality: most enterprises run all three. We say so.
| Dimension | Salesforce Agentforce | Microsoft Copilot | ServiceNow AI | Google (Gemini/Vertex) | Custom (LangChain etc.) | Amazon (Bedrock/Q) |
|---|---|---|---|---|---|---|
| Position | Agentic AI for CRM / customer-facing | Productivity surface (M365) | IT / enterprise workflow AI | Broad AI / cloud (Gemini) | DIY agent frameworks | AWS AI (Bedrock/Q) |
| Autonomous agents (reason & act) | Yes (Atlas Reasoning) | Copilot agents (Studio) | Yes (workflow agents) | Yes (Vertex agents) | Build yourself | Building |
| CRM / customer-facing context | Native (#1 CRM) | Via Dynamics | CSM | Not CRM-native | You build it | Not CRM-native |
| Data grounding / trust | Data 360 + trust layer | Graph + M365 data | ServiceNow data | Vertex grounding | You ground it | Bedrock grounding |
| Productivity (M365/Office) | Not the focus | Leader (M365) | Not the focus | Workspace | N/A | N/A |
| IT / enterprise workflow | Some | Some | Leader (ITSM) | Broad | DIY | AWS workflows |
| Ease (low-code build) | Agent Builder (plain language) | Copilot Studio | Platform | Vertex (technical) | Code-heavy | Technical |
| Best fit | CRM / customer-facing agents (grounded) | Productivity across M365 | IT & enterprise workflow AI | Broad AI on Google Cloud | Fully custom DIY agents | AWS-native AI agents |
Which email-security approach fits you?
Honest fit signals — because the fastest way to lose your trust is to pretend one product wins every scenario.
Choose Salesforce Agentforce if…
- ✓You want AI that ACTS — autonomous agents that reason through and complete multi-step CUSTOMER-FACING work (sales, service, marketing)
- ✓You need agents GROUNDED in trusted data (Data 360) and a trust layer — accurate and safe, not hallucinating (essential for agents that act)
- ✓You want agents native to the #1 CRM — operating where your customer work and data live, taking real actions in your systems
- ✓You'll adopt it thoughtfully — good data, guardrails, well-scoped use cases, and alongside your other AI (Copilot, ServiceNow) — with TechBag
Microsoft Copilot if…
- ✓You want AI for PRODUCTIVITY across Microsoft 365 (Teams, Outlook, Office) — often run alongside Agentforce
ServiceNow AI if…
- ✓You want AI for IT and enterprise WORKFLOW / ITSM — often run alongside Agentforce
Google / AWS if…
- ✓You want broad AI on your cloud (Gemini/Vertex, Bedrock/Q) or fully custom DIY agents
What do email threats cost you?
Drag the sliders (count agents/interactions; hour cost as loaded rate). Estimates contrast assist-only AI or manual work (humans do everything; bots just deflect) vs Agentforce (autonomous agents that reason and complete multi-step work, 24/7, grounded in your data) \u2014 the wins are expanded capacity, faster resolution, and 'digital labour'. NB: success needs good data + guardrails; consumption cost is evolving \u2014 TechBag scopes it. Illustrative.
Loaded cost = salary + overheads per productive hour. Illustrative only — your TechBag quote models actual device counts and modules.
Three ways to consume it
Agentforce has EVOLVING consumption pricing \u2014 models include ~$2 per conversation, Flex Credits (~$500 per 100,000 credits, ~$0.10/action), and per-user licensing (from ~$125/user/mo) \u2014 and human agents still need underlying Sales/Service licences. Salesforce has changed it repeatedly, so it needs current scoping and monitoring. INR pricing available. TechBag estimates your usage/cost realistically (conversations/actions + underlying licences), monitors consumption, and handles GST.
Agentforce (consumption)
Best for AI agents at scale
- Evolving models: ~$2/conversation, Flex Credits (~$0.10/action), or per-user
- Humans still need underlying Sales/Service licences beneath the AI
- Grounded in Data 360; INR pricing available; TechBag scopes & monitors cost
+ Platform add-ons
Best for a broader rollout
- Scoped to your estate
- Add-on modules as needed
- Phased, right-sized deployment
+ The foundation (adopt right)
Best value with TechBag
- Data 360 grounding + guardrails + well-scoped use cases = success
- Runs ALONGSIDE Copilot (productivity) & ServiceNow (IT), not instead
- TechBag builds the foundation, sets guardrails, manages cost, handles GST
Buy it for less — TechBag pricing beats list
Whatever the list prices above, TechBag negotiates a significantly better deal — with GST-compliant INR invoicing and local support. Ask us for your discounted quote.
Get an India-ready quote
Tell us your device counts and current tools — we’ll model it against what you spend today.
The 8 questions to ask every vendor
Take this into your next vendor call — including ours.
Do you want AI that ACTS (completes work), not just assists? Agentforce agents reason and take real actions autonomously — 'digital labour'.
Is your data ready? Agents must be GROUNDED in trusted, real-time data (Data 360) — good AI needs good data. TechBag builds the foundation first.
Have you defined guardrails (what agents can/can't do, human escalation)? Agentforce agents act within your rules + a trust layer — safe autonomy.
Is your customer work on Salesforce? Agentforce agents operate where that work and data live (sales, service, marketing) — with real actions.
Have you scoped well-defined, high-value use cases to start? Thoughtful rollout beats boiling the ocean. TechBag scopes the right first agents.
Understand Agentforce is your CUSTOMER-facing agent layer — it runs ALONGSIDE Copilot (productivity) and ServiceNow (IT), not instead. TechBag positions it.
Understand Agentforce's consumption pricing is evolving (per-convo / Flex Credits / per-user), and humans still need licences. TechBag scopes and monitors it.
Productivity (Copilot)? IT workflow (ServiceNow)? Broad AI (Google/AWS)? DIY (LangChain)? TechBag positions Agentforce honestly among them.
Questions buyers ask
Ready to put AI agents to work?
Scope Agentforce (autonomous AI agents that reason and act, grounded in trusted data, across sales, service and marketing) \u2014 and let a TechBag advisor build the data foundation (Data 360), set guardrails, scope the right first use cases, and manage the evolving cost. Adopt agentic AI thoughtfully, alongside your other AI.
Stats, ratings, review counts and pricing are illustrative and sourced from public materials; verify before purchase.