Agentic Transformation Co-Creation
AI Transform Studio connects your strategy, architecture, delivery, and knowledge sources, then works the problem with you. The agent plans, runs the analysis across those systems, and builds a living artefact on the canvas while you steer.
Seven days free with no card. Bring your own model keys. Studio connects to your systems; every write waits for your approval.
Strategy sits in one place, architecture in another, delivery in a third, and the reasoning behind all of it in pages nobody can query. Before anyone can say what a retirement actually touches, someone spends days reconciling exports.
An epic in Jira, a business capability in the architecture repository, an IT service in ServiceNow, and the decision written up in a page are four identifiers for one piece of change. The integration project that reconciles them outgrows the question it was meant to answer.
Chat hands you a paragraph. The impact analysis, the roadmap, and the visual everyone actually reads still get rebuilt by hand afterwards.
Studio sits above the systems you already run: strategy, architecture, delivery, service, and the knowledge sources where the reasoning lives. People and agents work the same canvas, the way a team works a whiteboard, except one of the participants can read every connected system.
01
Connect architecture and strategy repositories, delivery trackers, service management, and knowledge tools like Atlassian and Notion. The agent reasons across them and reconciles what lines up, so the mapping happens per question instead of per integration project.
02
This is an agent runtime, not a chat box. The agent plans the work, calls tools across your sources, and keeps going through analysis that takes minutes rather than seconds. Watch each step, redirect it mid-run, or hold it at an approval before anything sensitive.
03
The work lands as a living artefact built from the connected data. Refresh it against source, work inside it during the next session, and let the agent revise it while people are still asking questions.
Same product, three ways in. Architects and transformation leads use it in-house or across client engagements; builders wire it into the organisation.
You own the answer when someone asks what a retirement, a merger, or a platform move actually touches. Trace it with an agent across your connected sources, then hand leadership an artefact they can open, drill into, and question.
You run the forum where sequencing gets agreed. Bring one board that business and IT can both read, run the agent live when someone asks what happens if this slips, and carry the same board into the next cycle.
Compose MCP servers, skills, and agents under a harness you control: approvals before sensitive tools, steerable long-running work, and your own model providers inside your organisation's boundaries.
01
Point Studio at your architecture and strategy repositories, your delivery trackers, your service records, and the knowledge tools where the context was written down. Read access is enough to start.
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It plans the work, calls tools across every connected source, and builds on the Stage while you watch each step. Steer it mid-run, pause it, or hold it at an approval before anything sensitive.
03
Run the next session in it. Answer questions live, explore a what-if while people are in the room, and refresh it against source when the estate moves.
Each one is built from the data you connected and worked on together: you and the agent are both on the canvas, in the same artefact, at the same time.
The initiatives, the capabilities they fund, and where work sits now, assembled by the agent from the delivery systems you connected. Move a card; ask it to re-sequence and watch the board change with you.
When programmes and initiatives land — and what slips if one branch moves — reworked by the agent while people are still deciding. Presentable, and open to challenge before anyone commits.
Multi-domain views across the estate — business, application, and technology — overlaid by the agent for risk, cost, and age so leadership can act on the hotspots before the investment conversation starts.
A retirement, a platform move, or a merger cut, traced by the agent across what else sits in the path so you see blast radius before anyone commits.
The options, the trade-offs, and what was chosen, assembled by the agent from the analysis it just ran and the conversation around it. Versioned, presentable, and open to challenge in the next meeting.
The picture is assembled from connected sources, so the meeting begins at the decision rather than at the data.
Run the agent during the session. Explore a what-if, test a sequencing option, and see it on the canvas before the conversation moves on.
Every source call the agent makes is visible in the run, so you can see how it reached the picture in front of you.
Refresh against source and keep working in the same artefact instead of rebuilding it each time the question returns.
A Jira epic, a business capability in the architecture repository, an IT service in ServiceNow, and the decision written up in a page are four names for one piece of change. Rather than funding an integration programme to reconcile them, the agent reasons across the sources as it works, and every call it makes is visible in the run.
Connect 100+ systems through an MCP server, or add your own custom MCP server.
You connect your own model providers, so inference runs on the contract you already hold and keys stay server-side. Connections are scoped to your organisation, sensitive actions wait for a person to approve them, and Studio reads your systems rather than writing to them.
A flat platform fee for the people doing the work. Model usage stays on your own provider account, so what you spend on AI is visible to you and priced by them.
Seven days free with no card. Subscribe any time for $20 per month per organization. Model usage stays on your provider.
