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Implement

Agentic development, with an architect in the loop.

AI agents draft the work. Nothing is built before the scope is signed, and nothing ships before an access and change review. You get the speed of AI-assisted delivery for Apex, Flows, Lightning components and tests, without unreviewed code in production.

Book a scoping call
  • 2 review gates
  • Fixed price set at scope sign-off
  • Nothing ships unreviewed
Who it is for

This fits if you are here.

  • Your Salesforce backlog is bigger than your team, and hiring will not close the gap this year.
  • You want AI-assisted delivery, but not generated code that nobody has read going into production.
  • You need features shipped in short cycles, built to standards your own team can maintain.
How it works

Two review gates around every AI-built change.

A change that fails review goes back to Build. A new or changed requirement goes back to scope sign-off, never straight into the build.

Nothing is built before scope is signed, nothing ships before review1 Scope call and requirements: your backlog, stories with acceptance criteria, and the access impact. Scope sign-off: what agents may touch, what is out of scope, and the fixed price; nothing is built before both sides sign. 2 Build: AI agents draft Apex, Flows, Lightning components and tests in a sandbox. Access and change review: every change checked against sharing, access, data model and dependencies; a change that fails goes back to Build. 3 Release and handover: through your release process with a dependency note, code in your repository. A new or changed requirement goes back to Scope sign-off, never straight into the build.1 Scope call andrequirementsYour backlog, stories,acceptance criteria,access impactScope sign-offWhat agents may touch,what is out, andthe fixed price2 BuildAI agents draft Apex,Flows, LWC and testsin a sandboxAccess andchange reviewSharing, access, datamodel and dependencies3 Release andhandoverYour release process,dependency note, codein your repofails review: reworkrequirement changes: back to sign-off
Nothing is built before scope is signed, nothing ships before review1 Scope call and requirements: your backlog, stories with acceptance criteria, and the access impact. Scope sign-off: what agents may touch, what is out of scope, and the fixed price; nothing is built before both sides sign. 2 Build: AI agents draft Apex, Flows, Lightning components and tests in a sandbox. Access and change review: every change checked against sharing, access, data model and dependencies; a change that fails goes back to Build. 3 Release and handover: through your release process with a dependency note, code in your repository. A new or changed requirement goes back to Scope sign-off, never straight into the build.1 Scope call and requirementsYour backlog, stories,acceptance criteria,access impactScope sign-offWhat agents may touch,what is out, andthe fixed price2 BuildAI agents draft Apex,Flows, LWC and testsin a sandboxAccess and change reviewSharing, access, datamodel and dependencies3 Release and handoverYour release process,dependency note, codein your repofailsreviewscopechanges
  1. 1 Scope call and requirementsA short call, your backlog and read-only access to your org. Requirements written as stories with acceptance criteria. Data model, sharing and access impact noted. Your standards captured.Your architect with the business owner you name
  2. Scope sign-offWritten scope: stories, acceptance criteria, what agents may touch, what is out of scope, and the fixed price. Nothing is built before both sides sign.Your architect and the business owner you name
  3. 2 BuildAI agents draft Apex, Flows, Lightning components and tests in a sandbox by default, to the agreed standards.Agents, run by your architect
  4. Access and change reviewEvery change checked against sharing, access, data model and dependencies. Fails go back to Build.Your architect
  5. 3 Release and handoverTests run against the acceptance criteria. Deployed through your release process with a dependency note. Code, tests and decision records land in your repository.Your team approves the deploy and owns the result
What you get

What you get.

  1. A signed scope before any build

    Stories, acceptance criteria, what agents may touch, and the price.

  2. Working features every cycle

    Apex, Flows, Lightning components and configuration, each with tests.

  3. An access and change review on every change

    Checked against sharing, access, your data model and dependencies.

  4. Tests tied to your requirements

    Written against the acceptance criteria, not just to reach a coverage number.

  5. A dependency note with each release

    Any new credential, integration or permission, with its owner.

  6. Code and decisions you own

    In your repository, with decision records for choices that are hard to reverse.

Pricing

Fixed price, set at scope sign-off.

Scoping is usually included in the fixed price. If an engagement needs a separate scoping phase, we tell you before you commit. If the scope changes, it goes back to sign-off before the price does.

Proof

Led by a certified Salesforce architect. Trevaun is a Salesforce Consulting Select Partner.

We build our own product, OrgGuard (opens in a new tab), this way: AI drafts the code, and the architecture, security design and review stay with the architect.

Read why: The Salesforce Implementation Model Most Companies Are Still Running Is Already Obsolete.

  • Salesforce Partner
  • Pledge 1% member
FAQ

Questions people ask.

Do the AI agents touch production?

Not by default. For security, agents work in a sandbox, and any exception is agreed in writing at scope sign-off. Changes reach production only after the access and change review and through your release process.

Which AI tools do you use, and what do they see?

We agree the tools with you before work starts. An AI tool sees your code or data only when you grant it explicitly, and only what that grant covers.

What if our requirements change mid-build?

The change goes back to scope sign-off. We agree the new scope and price before the agents build it.

Can our own developers work alongside?

Yes. Your team can review the same changes, and everything lands in your repository.

Is AI-generated code safe to put in production?

Only after review. Every change is read by your architect, tested against your acceptance criteria, and checked against your data model, sharing and access before it ships.

Who owns the code?

You do. It lives in your repository, along with the tests and decision records.

Bring your backlog. We will show you how it would run.

Talk to usOr book a 30-minute call (opens in a new tab)

We reply within one to two business days.