Every AI system, agent and token, governed, costed and tied to value.
“What AI is running, what does it cost, and is it paying off?”
Dotwork gives the CTO and the AI office one register of the AI the enterprise runs: models, agents, use cases and the data they reach, connected to owners, controls, spend and the outcomes they were funded for. Dot, Dotwork’s AI, works across the whole model, and your own assistants can reach it through MCP.
Built for
- CTO
- Head of AI
- Chief AI officer
- CISO
- AI governance lead
- Platform engineering lead
Where to start
AI Governance & Value RealizationStart with the AI register. Token spend, controls and expected value attach to every system on it.
The pressure
AI is everywhere. The register is not.
Teams adopt models, copilots and agents faster than anyone can track them. Spend arrives on new bills, approvals happen in email, regulators expect a record of every high-risk system, and the board wants to know whether any of it is paying off.
What it looks like today
- No single register of models, agents and use cases
- AI spend spread across subscriptions, APIs and cloud bills
- Approvals and risk tiers tracked in spreadsheets
- Value claimed by anecdote, not evidence
The questions you can finally answer
Your questions, answered from one model.
Each answer comes from the same connected model, so the numbers agree from one question to the next, and every one opens into the solution that holds it.
“What AI is running, and should it be?”
Models, agents and use cases registered with owners, risk tiers and approvals.
In AI Governance & Value Realization“What does each AI workload cost, and who owns each dollar?”
Token and model spend attributed to agents, use cases and teams.
In AI Token Economics“Which controls cover our AI, and where are the gaps?”
AI systems held to the same standards and controls as the rest of the estate.
In Enterprise Standards & Controls“Which AI investments should we fund next?”
AI initiatives scored and funded in the same portfolio as every other bet.
In Strategic Portfolio Management“Is rising cloud spend growth or waste?”
Cloud usage tied to the products and teams it serves.
In Cloud Spend Optimization“Which applications could we consolidate?”
Each application’s cost, fit and dependencies, ready for a retirement case.
In Enterprise ArchitectureWhat changes
What changes for your team.
AI discovered team by team
One register of models, agents, use cases and owners
AI spend on scattered bills
Token and model spend in the same cost model as cloud and labor
Approvals by email
Risk tiers, approvals and controls recorded on every AI system
Value by anecdote
Expected value set when funded, and read against evidence
The solutions behind it
Start with one. Add the next when you need it.
Each solution you add reads and writes the same Enterprise Operating Model, so it adds context instead of another silo.
Govern & Deliver
Start hereAI Governance & Value Realization
“What AI is running, what can it access — and is it worth what it costs?”
ExploreFund & Optimize
AI Token Economics
“What does our AI actually cost — and what did it return?”
ExploreGovern & Deliver
Enterprise Standards & Controls
“Can we prove our controls were actually working on what we shipped?”
ExploreGovern & Deliver
Strategic Portfolio Management
“Is the work we are doing still the work we meant to fund?”
ExploreFund & Optimize
Cloud Spend Optimization
“What is the cloud bill actually paying for — and is it worth it?”
ExploreGovern & Deliver
Enterprise Architecture
“What does this capability cost to run — and what depends on it?”
ExploreMethods and frameworks
Runs the methods you already use.
Dotwork does not ask your team to adopt a new method. The frameworks you run become views over the same model.
The model underneath
Every team, one model.
Executives, finance, architecture, the portfolio office, risk and the AI office each open their own views, over the same Enterprise Operating Model. When one team changes something, every other team sees it, and Dotwork AI reads all of it, stopping where the decision is yours.
See the Enterprise Operating ModelBy team
The same model, through another team’s eyes.
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