AI agents that do the work, inside your Salesforce org.

Crafted agents. Measured outcomes.

We build, govern and run AI agents for regulated teams on Salesforce, and we're paid on the results they deliver, not on seats.

Acme Real Estate: loan review Run by Vera

"What's still missing before this goes to credit?"

  1. Read the loan and its checklist0.8s
  2. Found 2 open items: 2025 tax return, rent roll0.3s
  3. Checked policy: DSCR 1.31, above the 1.25 minimum0.4s
  4. Drafted a follow-up task for the borrower1.6s

Needs your approval. Create a task: "Request 2025 tax return and current rent roll from Acme", due Friday.

How we work with you

Pick one bottleneck. We launch an agent for it in four weeks, then run it with you on agreed outcomes.

  1. Week 1: Map

    Choose the workflow, the people involved, the review points and how success is measured.

  2. Weeks 2–3: Build

    Configure the agent in Atelier, connect it to your data, and test it against real cases.

  3. Week 4: Launch

    Release to a pilot group with approvals, traces and rollback in place.

  4. Then: Run

    We operate and tune the agent, and report against the outcomes we agreed.

Built for teams that answer to regulators

People stay accountable

Agents act with the user's own permissions and never change data without the user's approval.

Every step on record

Each run is traced, from the question to the model calls, tools and approvals, with time and cost.

Your model, your environment

Run on Claude, Gemini, or open-weight models hosted inside your own environment.

Choose one bottleneck. Launch in four weeks.

Tell us where your team loses the most time. We'll show you an agent for it.

Email hello@shilpigent.com