Sentry
Incident Io

Build a Policy Drafting AI Agent withSentry and Incident Io

Draft shouldn't take a morning of tab-switching across Incident.io and Sentry. Policies change frequently due to regulations and org updates.

Try in Claude

Draft needs 2 systems to agree.
Today they don't, so the contract review guesses.

Today they don't, so the contract review guesses.

SentryIncident Io

Sentry is a step behind.

Fields in Sentry move whenever someone logs them; to draft you need policy repositories fresher than that.

Incident IoSentry

Incident.io holds what Sentry misses.

Update lives in Incident.io, cut off from policy repositories, so policy drafting ai guesses at the link.

SentryIncident Io

Incident.io is the early-warning nobody reads.

By the time customize internal policies in Incident.io reaches the contract review, the window to act has usually shut.

Under The Hood

One prompt to draft. Two sources, already connected. Already connected.

01

Read draft from Sentry (engineering stack)

Policy repositories

Sentry
02

Check update from Incident.io (engineering stack)

regulatory databases

Incident Io
03

Sentry
output

Agent-ready output

Policy Drafting AI's readout: Draft, update, and customize internal policies; flag gaps; align policies with regulations and company standards. Sorted by what needs you first.

The Context Store

Policy repositories from Incident.io and Sentry, pre-joined before the agent runs.

Incident.io and Sentry get reconciled up front for policy drafting ai: policy repositories, regulatory databases, HR handbooks, legal guidelines, version history mapped to a single contract view instead of 2 separate APIs.

Your agent queries one surface instead of three APIs. Faster responses, lower cost per query, and results that work because the relationships were built before you asked the question.

CONTRACT-LEVEL JOINSLEGAL SCHEMANO GLUE CODE

The Prompt

Copy. Paste.
a Policy Drafting AI Agent

Two steps. Your data, your results, under 60 seconds.

01installOne-time setup. ~2 min.
Connect the Airbyte Agent MCP
02copy and run
Prompt
I want to draft by combining Sentry and Incident.io data, then report back.

SETUP
The Agent MCP is connected to 2+ systems; query them directly, no API code.

WORKFLOW
check connectors, connect Sentry and Incident.io, query policy repositories, regulatory databases, HR handbooks, legal guidelines, version history, reconcile per contract, summarize. Missing tools tell you how to link them. A single OAuth click.

TASK
Draft, update, and customize internal policies; flag gaps; align policies with regulations and company standards and surface the readout: highest-risk contracts first, each with a recommended next step.

The Outcome

Policy Drafting AI in a single pass. No 2-hour tab marathon. Now your agent can fix it.

10x

Faster

10x faster. Policy drafting ai does in seconds what ate 2 hours of draft.

90%

Cheaper to run

~90% cheaper: zero new infra and no seats added to draft.

2 -> 1

Tools, one query

2 tabs into 1: Sentry and Incident.io collapse to one view to draft.

Based on internal benchmarks comparing Context Store queries to sequential API calls across equivalent datasets.

01 · Output

Priority scoring

A 1-10 score on each contract means the urgent policy repositories rises to the top of policy drafting ai on its own.

02 · Signal

Reality-check flags

When your engineering stack and your engineering stack disagree on draft, the gap is flagged. Not averaged into a guess.

03 · Context

Context overlay

The contract review shows the supporting policy repositories inline, sourced from Incident.io, no digging required.

04 · Action

One move per line

For each contract, policy drafting ai names the next step. What to change and who owns it. Not just a number.

05 · Brief

Paste-ready output

A readout you can drop into the contract review: ranked, sourced from Sentry and Incident.io, scoped to policy repositories.

Common questions

Didn't find your answer? Please don't hesitate to reach out.

Contact us

What Sentry data does Policy Drafting AI touch?

Just policy repositories, plus regulatory databases, HR handbooks, legal guidelines, version history, via Sentry's scoped permissions. Policy drafting ai copies nothing outside your stack.

Which clients run policy drafting ai?

Claude, Cursor, and other MCP clients. Each points at the same Sentry and Incident.io connectors policy drafting ai uses.

What if a contract shows up in two of Sentry and Incident.io?

The shared key de-dupes it. Policy drafting ai keeps one contract with policy repositories merged across sources.

How fresh is the contract data Policy Drafting AI uses?

Live, it reads Sentry at query time, so the readout shows policy repositories as of now, not last night.

Stop tab-switching to draft. Let the agent read Incident.io and Sentry.

Connect Sentry and Incident.io (plus 47+ more) and ship policy drafting ai today to draft.