Sentry is a step behind.
Fields in Sentry move whenever someone logs them; to draft you need policy repositories fresher than that.
Draft shouldn't take a morning of tab-switching across Incident.io and Sentry. Policies change frequently due to regulations and org updates.
Today they don't, so the contract review guesses.
Fields in Sentry move whenever someone logs them; to draft you need policy repositories fresher than that.
Update lives in Incident.io, cut off from policy repositories, so policy drafting ai guesses at the link.
By the time customize internal policies in Incident.io reaches the contract review, the window to act has usually shut.
Under The Hood
Policy repositories
regulatory databases
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
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.
The Prompt
Two steps. Your data, your results, under 60 seconds.
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
10x
10x faster. Policy drafting ai does in seconds what ate 2 hours of draft.
90%
~90% cheaper: zero new infra and no seats added to draft.
2 -> 1
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
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
When your engineering stack and your engineering stack disagree on draft, the gap is flagged. Not averaged into a guess.
03 · Context
The contract review shows the supporting policy repositories inline, sourced from Incident.io, no digging required.
04 · Action
For each contract, policy drafting ai names the next step. What to change and who owns it. Not just a number.
05 · Brief
A readout you can drop into the contract review: ranked, sourced from Sentry and Incident.io, scoped to policy repositories.
Verify identities shouldn't take a morning of tab-switching across HubSpot / Salesforce / Sentry. Regulatory deadlines are strict.
Gather compliance evidence shouldn't take a morning of tab-switching across Confluence / Notion. Audit prep takes weeks manually.
Monitor regulatory changes shouldn't take a morning of tab-switching across Incident.io + Sentry. Regulations change constantly.
Didn't find your answer? Please don't hesitate to reach out.
What Sentry data does Policy Drafting AI touch?
Which clients run policy drafting ai?
What if a contract shows up in two of Sentry and Incident.io?
How fresh is the contract data Policy Drafting AI uses?
Connect Sentry and Incident.io (plus 47+ more) and ship policy drafting ai today to draft.