Product/AI That Does the Work

AI That Does the Work

Ask for the result. Poly can carry the work behind it.

Poly is the stakeholder-facing supervisor. Deep Work agents handle sustained execution within the available context and access boundary, while the expert resolves consequential uncertainty.

Book a working session See the context it uses

DEEP WORK RUN · 6 STEPSRUNNING IN THE BACKGROUND

Retrieve approved definitionCONTEXT

Inspect source model and runsEVIDENCE

Write and test the fixCODE

Update the datasetPERMITTED

Validate the resultPASSED

Deliver report and summaryRETURNED

01 / The two modes

A question and a job are not the same request.

ASK POLY

What changed in retention?

Approved definitionRelevant contextAnswer for review

Ask Poly

A bounded question with a bounded answer, grounded in the approved definitions and the evidence behind them.

YOU GET

An answer you can inspect

DEEP WORK · ACTIVE

Inspect evidence

Build and test

Return validated work

Deep Work

Substantial work in a dedicated computer environment: research, code, data modelling, product changes, validation, and artifact creation.

YOU GET

Finished work, not a suggestion

02 / What an agent can actually do

Capability, stated plainly.

Everything below happens inside the authorizing user’s company, region, permissions, connections, and review controls.

Investigate

Read the evidence

Inspect activity and source modelsTrace lineageRead production runs and freshnessReview prior decisions

Build

Change permitted objects

Write and run codeModel and transform dataCreate or update datasets, reports, workflows

Check

Validate before delivering

Run testsCompare against the approved definitionProduce the evidence trail

Deliver

Return it where you work

Continue in the background and return the finished result through supported product and external channels — you do not have to sit and watch it.

This execution model changes more than the toolchain. Read how outcome ownership and system stewardship reshape an AI-enabled product organization.

Seen in the product

The supervisor, the agents, and the handoff.

Five screens covering the ask, the plan, the change, the escalation, and the delivery.

Ask Poly answer grounded in Northlane business context — A question with a citable answer
Poly names the approved definition it used and the evidence it read, so the answer can be checked.

Deep Work plan for Northlane — The plan, before it runs
The agent states what it intends to do across the connected system — visible before anything changes.

Northlane report version changes — What it changed, and what it checked
A real diff on a permitted object, with the validation that passed before delivery.

Escalated Northlane question awaiting an owner — The moment it refuses to guess
The exact unresolved question, routed to a named owner, with the job paused rather than abandoned. The most important screen on this page.

Completed Northlane delivery — The result, where you work
Background execution returning a finished artifact — you did not have to sit and watch it happen.

03 / The honest boundary

What it does when it should not guess.

This is the difference between a capable agent and a dependable one.

Detects

Missing context or high risk

The reactivation window is ambiguous. Two readings are defensible and the choice changes the answer.

Escalates

A task with a named owner

Poly makes the gap visible and creates or recommends a task for the dedicated expert instead of picking one and moving on.

Resumes

The same job, finished

The expert resolves it on the same evidence, the decision is recorded, and the same agent continues from where it stopped.

Next step

Bring the job that never gets finished.

Not a demo prompt — a real piece of work that keeps stalling halfway.

Book a working session

What the agent knows about youBusiness Context for AI Who owns the escalationsDedicated Expert The full work surfaceProduct Overview

Ask for the result. Poly can carry the work behind it.

A question and a job are not the same request.

Ask Poly

Deep Work

Capability, stated plainly.

The supervisor, the agents, and the handoff.

What it does when it should not guess.

Bring the job that never gets finished.

Start with one important problem

Where should we reach you?

Where does AI stop for your team?

Book your working session

We are excited to chat with you.