Workato gives you the control and execution layers to run AI safely. Enably makes sure you pick the right use cases, set the right rules and own the result.
Workato partner UK based Senior led Built to hand over
Most organisations now have AI somewhere. Few can point to the outcome. The cause is rarely the model. It is what sits around it.
of organisations see no measurable return from generative AI.
MIT NANDA, The GenAI Divide, 2025
of agentic AI projects expected to be cancelled by the end of 2027, citing cost, unclear value and weak risk controls.
Gartner, June 2025
ChatGPT, Claude, Copilot, Gemini and a handful of agent builders each arrive with their own identity, security and governance. Nobody has one view of which agents exist or what they can touch.
Token costs grow with usage. Nobody has a budget, a quota or a chargeback model, so the bill is a surprise every month.
Connected to one or two systems, an agent can retrieve information. Ask it to complete a process across your ERP, service desk, CRM and an on premise system, and it stalls.
A gateway can confirm an action was allowed and logged. It cannot confirm the work was completed.
Before investing in implementation, make sure you are solving the right problems. We set the rules for who can build what, and how AI and automation stay within your risk appetite.
A single owner for standards, review and reuse across every initiative. Includes one view of demand, so automation requests stop living in spreadsheets.
Clear rules for who can build, change and approve what, and why. Governance for AI agents and MCP servers built in from day one.
Ongoing assurance that automation and AI stay within agreed risk appetite, with independent review of designs and builds.
Your team keeps control. We build the capability, not the dependency.
Fewer repetitive tasks, faster resolutions and AI use cases proven in pilot before you scale them. Across the service desk, operations and any process ready for agentic support.
Where does AI create measurable business value, not just headlines? We test every use case against an outcome before anyone writes a recipe.
Agents that complete multi step business processes end to end, inside the guardrails you set.
AI applied wherever repetitive work slows the business down, across any function.
Prove the business case small, then scale it deliberately, with the team that built it.
For a UK member firm of a global professional services network, we ran a diagnostic of more than 100 questions across six themes. We then designed an operating model and governance framework with agentic AI and MCP governance built in from day one.
Tick two or more and we should talk.