Instill for Teams

Hire expertise, not headcount.

Instill puts a task force of expert-built AI agents on your team. Each one carries the working methodology of a named, vetted specialist — captured by that expert, tested in simulation before it ever touches your work, and backed by the expert personally when an answer carries risk.

The problem

Teams buy expertise three ways today — and all three are breaking.

Hiring

The people you actually want are scarce, slow to land, and expensive to keep.

Consultants

$300–$1,000 an hour, weeks of ramp — and the knowledge walks out the door with the engagement.

AI copilots

They know your documents. They don't know anyone's craft. Generic AI gives generic answers, with nobody accountable for them.

The most valuable knowledge in any field — how a twenty-year practitioner actually decides — was never written down. No amount of mining your tickets and documents recovers it.

What you get
I.

Named expert agents, on the jobs that need them

A GTM operator built by a revenue leader. A deal-qualification operator built by a sales leader who carried a number for a decade. You know whose methodology is running — by name.

II.

Deliverables, not chat

Each engagement produces working output — a budget memo, an action plan, a scored pipeline review — not a conversation transcript.

III.

The expert is one escalation away

Agents are designed by their authors to recognize the moments that need a human and route them to the expert — pre-briefed, with full context. Always-on coverage, with guaranteed access to the person behind it.

IV.

Verified before deployed

Every agent passes its author's own simulated client engagements before publication — the review a senior partner runs on a junior's work, built into the platform.

V.

A full audit trail

Every question, finding, consent decision, and escalation is recorded in an append-only ledger. You can show exactly what the agent saw, did, and recommended — and what it was never allowed to touch.

Your data

Built to answer the data question.

Where your data goes

Engagements run on Instill's servers. Model inference uses an enterprise AI API that does not train on your data. Nothing is shared with other customers or other experts.

What you approve

Per-data-point consent: the agent asks before using a document or fact, and the grant is scoped to that engagement. Declines are recorded too.

What you can prove

The full engagement ledger — questions, findings, consents, escalations — is exportable. Your audit story is a file, not a promise.

The ask

Founding design partners — a few, by review.

  • Four to six weeks, on one function you choose — fixed fee.
  • Scoped to a concrete deliverable inside the first two weeks.
  • Founding-partner pricing locked for twelve months.
  • The expert escalation channel included.
  • We get your edge cases — and a reference only if we earn it.

If the pilot doesn't produce work you would have paid a consultant for, don't renew. That's the test we ask to be held to.

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