AI Transform
The AI integration platform
Integrations you can actually see
Most integrations are invisible until they break. Transform puts every run on the record: describe what you need in plain English, review what the AI drafts, and watch each pipeline read, write, and flag failures in real time, instead of finding out from a customer.
One pipeline, not a pile of scripts
Source
Salesforce, HubSpot, databases, MCP
Transform chain
filter, map, classify, extract
Destinations
Smartsheet, NetSuite, Slack, Teams
One pipeline can write to several places in a single run.
Why this is hard
Hand-built integrations don't fail loudly. They rot quietly.
The demo always works. It is year two that gets expensive, when the scripts nobody documented start dropping records at 2am and no one can say why.
API drift
Things change underneath you
Third-party APIs shift without warning. Hand-built connectors break silently and keep running on stale assumptions until something downstream is wrong.
Silent failures
No error is not the same as no problem
A script that throws no error can still write the wrong thing. Without a record of every run, you find out from a customer, not a dashboard.
Key-person risk
It lives in one person's head
The integration is held together by the one engineer who built it. When they leave, so does the only person who knows how to fix it.
Maintenance burden
Scattered scripts, scattered access
Each one-off integration stores its own credentials and runs on its own, so there is no single place to manage access or even see everything that is connected.
How it works
One configuration, end to end
Every integration is the same shape, so there is one model to learn and one place to watch it run.
Source
Where the data lives: a CRM, a database, or any MCP server.
Transform chain
Reshape and enrich the data. AI steps sit inline with deterministic ones.
Destinations
Where it lands. One run can write to several systems at once.
What it takes
The simple part is the demo. The hard part is everything after.
Anyone can wire two systems together once. Transform exists because running integrations safely, every day, for years, is real engineering. This is the work you do not want to own.
Isolation
Your own private environment
Your integrations run in their own isolated space, with their own credentials and per-user sign-in. No other client can reach your data, and we don't keep your records. We log what ran, not the contents.
Validation
Checked before it ever runs
AI reviews the assembled pipeline before anything applies and flags the issues a tired operator would miss, so mistakes do not reach production.
Observability
Every run on the record, replayable
Every run logs records read, records written, and any failure. When something breaks you can see exactly why, fix it, and re-run.
Maintenance
Connectors that do not rot
Third-party APIs shift without warning, and hand-built connectors break silently, running on stale assumptions until something downstream is wrong. We watch for that. Every connector is tested against your live systems before we turn it on, and ongoing automated checks exercise each one and track vendor API and AI-model retirements, so we fix drift before it reaches your pipelines, with no standing engineering tax on your team.
Governance
A person stays in charge
AI drafts and suggests; a person reviews and approves every pipeline before it goes live. At run time you choose: let a trusted pipeline run on its own, or require human approval before anything is written downstream.
Model choice
Your model, your call
Claude by default for its reasoning quality, with private-routing options when policy requires. You are never locked into a single model.
Your data is only sent to an AI model when an AI step is part of that integration. Otherwise it's pulled, transformed, and delivered to its destination, never stored and never processed by AI.
The ecosystem
Connect what you already run
Transform reads from and writes to the systems your teams depend on, with first-class support for the MCP standard so new connectors slot in without custom plumbing.
Smartsheet is one destination among many, not the center. A single pipeline can pull from a CRM, enrich and classify with AI, and land the result in your ERP, your sheets, and a Slack channel in one run.
Ask about a connectorA sample of what it connects
New connectors are added regularly. If you run it, ask us.
Build vs. buy
You could build this. The real question is whether you want to maintain it.
A weekend prototype and a platform that runs your business for the next three years are different things. Transform is the second one: owned, monitored, and maintained, so the integrations your operation depends on stay standing without becoming your team's problem.
See it on your data
Bring a workflow. We'll show you Transform.
The full transform-step catalog, the security architecture, and the deployment model are best walked through live, on a real integration you are dreading. Tell us the source, the destination, and the mess in between.