Five specialists plan, build, review, and verify every change — then wait for your sign-off.
This is the same pipeline header you'll see on every ticket in the app — each specialist takes the baton, works out loud, and hands off. Click any agent to inspect their leg of the relay.
Your last deep scan ran 3 days ago — I'll trust it as a baseline and spot-check the pricing area. Discount_Rate touches 2 flows and 1 validation rule.
This is the actual product — not a mockup. Five agents plan, build, review, and verify, pausing for your approval, with the run graph and every tool call in plain sight.
ForceTeam AI joins any Zoom, Meet, or Teams call. The moment it leaves, the asks are structured tickets — already queued for the team. No meeting? Paste a transcript.
The BA agent reads any transcript and extracts action items — each with a full spec, priority, and assignee — then turns them into tickets you review before anything ships.
Mapped, graded, and answerable — before the first change is planned.
One pass, six specialists in parallel — every object, field, flow, Apex class, and permission set indexed. The Architect writes the executive narrative on top.
Seven agents audit in parallel — 35 checks across security, data, automation, code, performance, debt, and compliance — weighted into one score, with the fix list ranked.
“Which Apex classes have no test coverage?” Routed to the right agent, answered from live metadata with citations — reasoning and tool calls in plain sight.
Anything destructive stops the line and waits. Walk away; the run holds its exact state until you decide.
Compliance flagged this as irreversible. The pipeline is paused until you approve.
Against Agentforce, a general LLM, and traditional consultants — on the dimensions buyers actually compare.
| AgentforceSalesforce-native | ChatGPT / Claudegeneral LLM | Consultantshuman services | ||
|---|---|---|---|---|
| Who does the work | A 5-agent teamplan · build · review · verify · sign-off | One copilotsingle model, single pass | You, with adviceno Salesforce execution | Humansbilled by the hour |
| Executes inside Salesforce | Yes, with approval | Yes — Data Cloud required | Advice only | Yes, manually |
| Built-in peer review | Every ticketReview & QA can reject the build | No | No | If you pay for two |
| Meetings → tickets | Built-inAI joins Zoom · Meet · Teams | No | No | They take notes |
| Knows your whole org | 2,431 components mappedbefore the first change | Partial context | No org access | After weeks of discovery |
| Time to first deploy | Minutes | Weekssetup + tuning | Hoursmanual deploy | Days to weeks |
| Audit trail + rollback | Built-in, one click | Limited | No | Manual change sets |
| Starting price | $99 / monthfree trial · no credit card | $125+ / user / moplus Data Cloud | $20+ / monthno execution | $150–250 / hour |
Pay as you go
Only pay for what you use
Every account ships the full five-agent pipeline — we don't sell safety as an add-on.
An AI team for Salesforce. You describe a change in plain English — or drop in a meeting — and five specialist agents plan it, build it, review the code, verify it against your live org, and hold it for your approval. Nothing ships without your click.
A single model checks its own homework. Here, Code Review and QA are separate agents with the right to reject the build — you can watch them push back inside every ticket. The disagreement is the safety feature.
Yes. The team is read-only until you approve a change, anything destructive pauses the pipeline, every deploy has a full audit trail, and rollback is one click. Runs hold their state — walk away mid-approval and resume tomorrow. SOC 2, HIPAA, and GDPR compliant.
No. Describe the outcome; the team picks the right tool — flow, Apex, validation rule, permission set — and shows you a readable diff with the reasoning before anything deploys. When code is the answer, it arrives already peer-reviewed.
Send ForceTeam AI to any Zoom, Meet, or Teams call. It records and transcribes, and the moment the call ends, the asks are structured Salesforce tickets — objects, fields, and tags attached — queued for the agent team. No meeting? Paste a transcript.
Agentforce is Salesforce's platform for building customer-facing AI agents — it needs Data Cloud and enterprise setup. ForceTeam is for the people who run Salesforce: the admin work itself, executed by an agent team, from $99/month with nothing to implement.
From $99/month with a free trial — no credit card. Team and partner plans add shared queues, sandbox pipelines, and SSO. Every plan includes the full five-agent pipeline; we don't sell safety as an add-on.
Plans, builds, reviews, and verifies every change — and never ships without your sign-off.