Consulting
AI you can rely on.
Using AI to produce some output is easy. Using AI to produce outcomes your business can rely on is the challenge. It takes more than choosing a model: connecting the right information, checking results, controlling actions and measuring the impact of variations in the output. We have learned how by running our own AI-powered systems, and we bring what we have learned to yours.
Email us about your projectHow we can help
Systems with embedded AI
We design and build systems where AI performs a useful part of the work: researching, drafting, analysing information or supporting decisions. Embedded AI can be a reliable component in an otherwise deterministic system. Our approach sets clear responsibilities for the AI component, the components around it, the system as a whole, and the people making the key decisions.
For example, a research tool can prepare a brief from approved sources for someone to review.
Enterprise AI integration
We put AI to work across the applications, data and processes your organization already depends on. We design and implement the connections, workflows and access controls, defining what AI can read, what it can change and which actions require approval.
For example, AI can review requests in an existing intake workflow while your team approves changes to the system of record.
Reliability is the design
- What goes out to AI. Only what you expect. Prompts are templated and the types of data that go in them are predefined; a gate checks every call.
- What comes back from AI. Incoming results are checked for the shape you expect, the sources behind them, and your business rules and definitions.
- Human oversight. Your people get clear approval points and the information they need to judge a result.
- Cost and execution controls. Budgets, time limits and stopping rules are set, with visibility into usage and failures.
- Recoverable workflows. Interruptions, failed steps and retries are planned for, so work isn't lost or done twice.
- Control over models. Model choices and changes are evaluated against your requirements before they go into use.
- Measured value. We agree what improvement means, establish a baseline and measure against it.
Tell us about your project
Tell us what you want to improve, which systems are involved and what your team needs to stay in control of. We can discuss where AI could help and how you would know it is working.