Stitchflow

How it works

We build the first workflow with you. Enablement, not dependency.

Offboarding, access reviews, license management. We start with one, build it end-to-end with AI across every app including apps without APIs, and transfer the patterns. The first workflow takes less than a week. After that, the playbook is yours.

Less than a week, start to finish. ~2 hours of your time.

Three workflows

We build complete, end-to-end automation for three IT processes.

Each sounds simple until you try to do it completely. The complexity is not in any single step. It is in getting every step right, across every app, every time, with evidence that it happened.

01

Offboarding

47 actions across 30 apps, with branching logic per exit type. One click. Full audit trail.

02

License Management

Always-on cleanup with app-specific rules. Automated Slack campaigns. Reclaim seats with evidence.

03

User Access Reviews

Continuous gap detection, reviewer sign-off in Slack, auditor-ready evidence. SOC 2, ISO 27001, HIPAA.

This is your moment

The IT professionals who figure this out don't just keep their jobs.

They become the person leadership turns to for AI strategy. The interesting problems go to people who move first. The gap between those who engage and those who don't widens every month.

Read our thesis

For you

A fundamentally different career trajectory.

For your team

10x operations, interesting problems.

For your company

One AI-native IT team serves every department.

How we engage

Context capture, hypothesis, build, deploy. Under a week.

We figure out the how. You tell us the what.

1Context capture

Context capture: we sit with your team

We go through every step of the workflows you want to automate. The goal: understand your environment completely before we build anything.

What we capture

Every step. Who files the ticket? What gets checked, skipped, forgotten?
Every tool. Which have APIs? Which need the admin console? Which have no API at all?
Every exception. Contractors vs. FTEs, deferred access, department-specific rules
Tribal knowledge. The stuff in someone's head and nowhere else
Timing. What happens immediately, what waits, what depends on what

The principle

Suspend disbelief. Tell us what “completely automated, end-to-end” looks like, without worrying about technical feasibility. We figure out the how. You tell us the what.

~2 hours

Your total time investment

2Hypothesis

Workflow hypothesis: a detailed blueprint before we build anything

From context capture, we produce a step-by-step blueprint of what the automated system will do. You review and refine it. Nothing is built until the workflow logic is confirmed.

What's in the blueprint

Every trigger. What starts the workflow
Every branch. Different paths by exit type, department, app
Every app action. What happens in each app, via API or browser
Every notification. Alerts, approvals, status updates
Every exception. What happens when something fails

You review it first

Nothing is built until confirmed. You see every trigger, every branch, every action, every exception handler before a single line of code is written.

3Build

Build: four components

We build using four types of components. Every workflow is assembled from the same building blocks.

Workflow logic

Triggers, branching, approval gates, alerts, exception handling, scheduled execution

Deep integrations

~100 apps, read + write. Identity graph stitching app data with your IDP

Browser automation

For apps without APIs. Chrome extension running locally. Credentials never leave your network.

Reusable components

Slack/Teams interactions, reporting, audit logs, management console

4Deploy

Deploy, test, and transfer knowledge

No workflow goes live without testing. Phased rollout, verified results, full knowledge transfer.

Phased testing. Sandbox first. Expected paths and edge cases. Start small, confirm, expand.
Transparent logic. Every trigger, branch, action, and exception handler is visible. No black box.
The playbook is yours. The same structure powers any IT process with multiple apps and conditional logic.

Enablement, not dependency

First workflow is collaborative. Second is faster. By the third, your team designs workflows themselves. You walk away able to extend it to anything else in the company.

5Ongoing

Ongoing support and building more

APIs change. Admin consoles get redesigned. We update. You don't notice. Your team spends zero time on integration maintenance.

When Google updates the Admin SDK, we update the integration. When a browser-automated app redesigns their console, we update the scripts.
Add apps, modify branching, adjust notifications as your environment changes
The compounding effect: second workflow takes days, by the fifth your team designs them

One vendor. One SOC 2 review.

One team responsible for the entire integration layer. No multi-vendor coordination. No finger-pointing when something breaks.

The anatomy

Every IT workflow we build has the same skeleton.

1

Trigger

What starts the workflow. Four trigger types, any combination per workflow.

Human ad hoc

Slack/Teams form, manual kick-off

Scheduled

Quarterly, before renewal, every 15 days

External signal

HRIS webhook, IDP EventHook

Listener

Stitchflow-detected change: account suspended, license change

2

Rules + Reconciliation

Per-app rules, identity graph matching, filters and exceptions. The logic layer that decides what happens.

Per-app rules and policies

Identity graph reconciliation

Conditional branching

Filters and exceptions

Deferred / scheduled execution

Cross-app data matching

AI builds it → Deterministic logic runs it

3

Human Review

The system handles the routine. Your team handles the exceptions.

Slack/Teams DMs

Per-reviewer messages with Keep, Remove, or Investigate buttons

Manager approvals

Escalation paths with Day 3 reminders and Day 5 escalation

Reviewer sign-offs

Timestamped decisions per account, per app

Input gathering

"Do you need this license?" "Is this the right person to remove?"

Bulk actions

"Remove All Offboard Misses" for clear-cut cases

Exception handling

Flag failures, retry with backoff, escalate. Never stop the workflow.

4

Actions

Execute via API, browser automation, or ticket creation. Across every app, in parallel.

Provision / deprovision

Create or remove accounts across every connected app

Modify roles and entitlements

Update access levels, group memberships, license tiers

Create tickets

Jira, Freshservice, or any ticketing system

Suspend, lock, transfer

Device locks, file transfers, session sign-outs, Vault holds

5

Reports

Visibility and evidence at every step. Reports can exist without actions. Monitoring mode is a valid entry point.

Slack/Teams summaries

Per-workflow completion reports posted to your channel

Auditor-ready evidence

Per-action, per-app, timestamped, with reviewer sign-offs

Weekly rollups

Aggregated activity across all workflows and apps

Real-time gap alerts

Offboard misses, no-IDP-match accounts, privilege escalations surfaced immediately

Three data channels

Feed data in (Step 2) and execute actions out (Step 4). Every channel maintained by us.

API

~100 apps, read + write

Deep, app-specific integrations. Provisioning status, roles, groups, usage, licenses. Token refresh, pagination, rate limits handled automatically.

Okta logo
Okta
Google logo
Google
Slack logo
Slack
Jira logo
Jira
Zoom logo
Zoom
GitHub logo
GitHub
Iru logo
Iru
BambooHR logo
BambooHR
+92 more

Browser

Scrape + click for apps without APIs

Playwright Chrome extension using your SSO sessions. Runs locally. Credentials never leave your network. Resilient to UI changes, maintained by us.

Adobe logo
Adobe
ChatGPT logo
ChatGPT
Figma logo
Figma
Canva logo
Canva
Miro logo
Miro
Navan logo
Navan

CSV

Data-in for apps with no API and no automatable web UI

Upload user data via Slack, Chrome extension, or email endpoint. Feeds into the identity graph for reconciliation.

Slack uploadChrome extensionEmail endpoint

Platform guarantees

SOC 2 Type IIRate-limit managedToken refreshComplete audit logging

Before go-live

No workflow goes live without testing, phased rollout, and full knowledge transfer.

Testing

No workflow goes live without testing against real scenarios.

Sandbox testing where available, test account testing where not
Expected paths and edge cases: user not found, API errors, expired sessions, department-specific rules
Each scenario documented, each result verified

Phased rollout

Start small. Verify. Expand.

One workflow, one trigger, a small batch of users
Verify results, review the audit trail, confirm actions match expectations
Expand to additional workflows, apps, and user populations

Knowledge transfer

Enablement, not dependency. First workflow is collaborative. Second is faster. By the third, your team designs workflows themselves.

Every trigger, branch, action, and exception handler visible and documented
Integration architecture: which apps connect via API, which via browser, which via CSV, what each supports
The patterns your team can apply to any IT process

after deployment

Ongoing

Integration maintenance

APIs change. Admin consoles get redesigned. OAuth tokens expire. We monitor, update, and fix all integrations. Your team spends zero time on integration maintenance.

Workflow evolution

Add apps, modify branching logic, adjust notifications, update exclusion rules. Changes are modular. Updating one component does not require rebuilding the entire workflow.

Building more

The first workflow takes less than a week. The second takes days. By the fifth, your team designs workflows themselves. Same infrastructure, compounding returns.

One vendor. One SOC 2 review. One team responsible for the entire integration layer.

~2 hrs

your time, total

The real outcome

Your team becomes AI-native. So do you.

First workflow: under a week. By the fifth, your team designs them. The real shift: your team develops the capability to build AI systems.

Less than a week

First workflow

We build it with you. You see every decision. Full knowledge transfer.

Days

Second workflow

Same infrastructure. Faster because the patterns are familiar.

Your team designs them

By the fifth

You've developed the capability to respond to new problems with AI-built solutions.

The result

Your IT org is AI-native

Workflows run end-to-end, processes are automated, your team operates at a different level.

You're AI-native

YOU can look at any broken process and design a system. The skill is yours. It's portable.

That skill is portable. Any company, any function. The patterns transfer.

Every IT process that involves multiple apps, conditional logic, and a need for evidence is a candidate:

Developer onboardingApp provisioningPeriodic access certificationSaaS usage reportingCompliance evidence collection

See what your workflows look like when they're built with AI.

We'll walk you through your environment — every app, every step — and show you what fully automated looks like.

30-minute walkthrough · No commitment · SOC 2 Type II