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For teams that build with AI

AI builds. Two reviews. A human go.

Harnesses that live outside your systems, for any stack. A builder model writes the change, two reviewers from different model families check the exact commit, a script refuses to release without both verdicts, and a person presses go.

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Three ways in

Start with the audit. Or take the files and go.

Salesforce AI Workflow Audit

$1,500one-time · 48 hours · no call required

Pay, grant read-only access to your repo and one sandbox through the intake form, and get a written playbook by email within 48 hours. No call required.

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Harness setup

$6,000one-time · 10 business days · remote

The release gate, the two-reviewer pipeline, the shared memory and rules, and the per-person budgets, installed in your own accounts on your own AI plans. Your team trained. Handed off.

See the setup

Release Pack

Freedownload, yours to keep

The gate script, the two review skills and the brief and verdict templates, as files your team drops into its own repo and AI tools.

See what is in it

The harness

What stands between an AI-written change and your production org.

The harness: AI builds, two reviews, a human goA person writes a brief. A builder model writes the change in a branch and commits it. Two reviewer models from different families each review that exact commit and write a verdict with its hash. The release gate script releases only when both verdicts passed the same hash that is about to deploy. A person presses go, and the validated job reaches production. A second path, where the builder reviews its own build, is crossed out: it never happens.Briefwritten by a personBuilderone modelworks in a branchCommita91f3cReviewer Amodel family 1verdict + hashReviewer Bmodel family 2verdict + hashRelease gatea scriptseven refusalsHuman goa named personProductionvalidated jobsame hash, two reviewers, no NO-GOBuilder reviews its own buildnever: the tool that builds a change does not get a vote on whether it ships
The builder never reviews its own build. The gate is a script, not a meeting. The go is a person. Every step, in order
  • The tool that builds a change never approves itWhatever writes the code does not get a vote on whether it ships.
  • Two independent reviews on the exact commitTwo separate reviewers read the same bytes that will deploy, not a summary of them.
  • AI agents touch sandboxes onlyNothing automated reaches production. Ever.
  • A release checklist with a human goDeploy order, named tests, and one named person who presses go.
  • Review findings go back to the teamEvery review lesson is written down and fed into the next sprint, so the same mistake is not made twice.

The second brain

Train one agent. They all learn.

Everything your assistants know lives in one place your company owns: the facts about your accounts, your rules, how you want things written, and the skills themselves. Every agent reads from that one brain. Teach it once and nobody has to teach it again.

What that looks like

A seller tells the morning-brief agent: “That account’s fiscal year starts in July, not January.”

The fact is written into the shared memory under that account. The next pre-call prep, the next post-call proposal and the next renewal alert all use July. No one repeats it.

One shared memory, every agent reads it firstA central store holds rules, lessons, org facts and skills as plain files in your repo. Five agents sit around it: the builder, reviewer A, reviewer B, the release gate and the post-deploy check. Each has an arrow in both directions: every agent reads the store before it works, and a lesson written once by any of them is read by all of them next time.Shared memoryrules · lessons · org factsskillsplain files in your repoBuilderreads, then buildsReviewer Areads, then reviewsReviewer Breads, then reviewsRelease gatereads the rulesPost-deploy checkwrites the lessonsolid: reads before work · dashed: writes a fact or a lessonTeach one agent. Every agent learns.
  • One memory, many agentsThe morning brief, the pre-call prep, the post-call proposals and the alerts are different jobs, but they read and write the same store. There is no second copy to drift.
  • A correction becomes a fact or a ruleWhen a person corrects an agent, the correction is saved as a plain fact (confirmed by that person) or as a rule change to a skill file (checked by two reviewers before it is turned on). Either way, every agent picks it up.
  • It stays yoursThe brain lives in the harness your company hosts, as plain files and a database you can open and export. Change AI vendor and keep every fact and every rule.
  • It forgets on commandDelete a fact and it is gone from every agent at once, because there was only ever one copy. The log says who removed it and when.

Integrates with anything

Your tools stay. The harness connects to them.

Sellers keep working in the chat, mail, docs and CRM they already use. The harness reads from these through their public APIs and files, and proposes writes back into them.

These are tools we connect to through their public APIs and files. StratoForce has no partnerships with any of them; names belong to their owners.

CRM
Salesforce, HubSpot, Microsoft Dynamics 365, Pipedrive
Chat
Slack, Microsoft Teams, Discord, Google Chat
Email & Calendar
Gmail, Outlook, Google Calendar, Outlook Calendar
Docs & Notes
Notion, Obsidian, Google Docs, Confluence
Project & Tickets
Jira, Linear, Asana, Trello
Files & Storage
Google Drive, Dropbox, Box, OneDrive
Finance & Billing
Stripe, QuickBooks, Xero, Ramp
Support
Zendesk, Intercom, Freshdesk, Help Scout
Marketing
Mailchimp, Customer.io, Klaviyo, Brevo
Data & Analytics
Snowflake, BigQuery, PostgreSQL, MySQL
Dev & DevOps
GitHub, GitLab, Bitbucket, Vercel
Commerce
Shopify, WooCommerce, BigCommerce, Square
HR
Workday, BambooHR, Gusto, Rippling
Custom
Anything with an API, a webhook or a folder

And 30 more: all 82 names, by category

The Confirm button. Reads are read-only, under each person's own permissions in that tool. A write to any of them shows the change and its evidence, then waits for a person to press Confirm. There is no setting that turns this off.

How an engagement works

We set it up. We hand it back. That is the whole model.

The engagement path: look, setup, handoff, advice when you want itFour steps on one line. Look: the audit, a read-only look at your repo and one sandbox, playbook within 48 hours, $1,500. Setup: ten business days, $6,000, installed in your accounts. Handoff: your team owns every file, we delete our copy and confirm it in writing. Advice: an optional 45-minute session at $199, booked only when you want it. Under the handoff step a note reads: recurring cost to StratoForce after this point, zero.Lookthe audit · read-only · 48 hours$1,500, onceSetupten business days · remote$6,000, onceHandoffyou own every filedeletion confirmed in writingAdvice, when you want it45 minutes · $199optional · no retainerafter this point: nothing recurring to StratoForce

  1. Look

    The audit: a read-only look at your repo and one sandbox, and a written playbook within 48 hours. If you would rather talk first, twenty minutes on a call, free.

  2. Setup

    Ten business days, remote, at one fixed price. The gate, the two-reviewer pipeline, the shared memory and rules, and the per-person budgets, installed in your accounts on your AI plans.

  3. Handoff

    Your team is trained and gets the keys. Nothing runs through StratoForce afterwards. You own every file, prompt, skill and memory, and we confirm our copy is deleted, in writing.

  4. Advice, when you want it

    One session at a time, 45 minutes, $199, booked when you need it. No retainer and no minimum. Most teams do not need it.

Proof

One line, and it is true.

A Salesforce team at an enterprise software company went from a 31-slide concept deck to production code in 38 days this way, through the same gate that is on the playbook page.

Who runs it

Tommy Gomolski

Senior Salesforce architect, 15+ years in enterprise platforms. Builds with AI tools daily under the rules on this site.