[ AI teammates ]
AI teammates for the enterprise.
Working alongside your people.
Transform's AI teammates take on real work across your programs: specs, plans, code, and support requests. They share your team's context and rules, act only within the permissions you set, and show every step for review.
[ How they work ]
Assigned like a colleague. Working from the same record as your team.
01
Give it the work
Assign a task the way you would to anyone else, in Transform, in Slack, or from a ticket. No prompt engineering.
02
It works in context
Teammates read the linked record: requirements, solutions, RAID, meetings, and the systems behind them. They start from what your organization already knows.
03
You stay in charge
Every step is visible. Nothing is published, merged, or changed in a system until the right person approves it.
[ Across the lifecycle ]
In every phase of the engagement. From the first proposal to managed services.
90%
Less time getting up to speed
70%
Less time finalizing stories and requirements
10+ hrs
Saved per person, every week
80%
Faster artifact creation
Faster, sharper pursuits, built from everything you have delivered before.
80%Faster SOW and proposal drafting
75%Quicker estimates, modeled from history
Roles supported
ArchitectBusiness analystEngagement manager
[ Guardrails ]
People stay in charge. Teammates work inside the rules you already have.
Same permissions as your people
A teammate only sees and does what its role allows, inherited from your existing access controls.
Approval before anything changes
You decide which actions need sign-off, from publishing a spec to merging code.
A complete audit trail
Every read, draft, and action is logged and linked to the work it touched.
Any model, same context
Models are replaceable. Your enterprise context stays in Transform, whichever model does the work.
[ Build your own ]
A teammate for any role. Including the ones only your organization has.
Start from a template or describe the job. Give it the knowledge it needs, the systems it can use, and the approvals it has to ask for.
1
Describe the role
A name, a job description, and the outcomes it owns.
2
Connect what it knows
Processes, documents, and systems, connected through MCP.
3
Set the rules
What it can do on its own, what needs approval, and what it never touches.
[ Get started ]
Put AI teammates to work on your next program. With your people in charge.
The enterprise AI platform that understands your business and gets work done.