AI & intelligent operations

AI on work that can be checked, with a person accountable.

AI applied where it holds up: governed, auditable workflows with a named person accountable for every decision they support.

The problem

Pilots that impress in a demo and stall in compliance review.

Many AI initiatives in life sciences stop at the same point: a convincing prototype that cannot show where its answers came from, who checked them, or what happens when it is wrong. Medical, legal and regulatory review rightly asks those questions, and the pilot waits.

We build the answers to those questions into AI workflows from the start: clear tool permissions, structured inputs and outputs, validation before anything changes a record, human review for consequential steps, and an audit trail that a reviewer can follow.

How we help

What this solution area covers.

Practical, governed uses of AI in commercial, medical and operational work.

Workflow and agent design

Identify the steps that are high volume, well specified and checkable, and design agents with explicit tool permissions and hand-offs to people.

Governance and validation

Evaluation cases, output validation and audit metadata, so a workflow can pass review and be monitored once live.

Research and content support

First-pass synthesis of research, field insights and literature with sources attached, reviewed by a named expert before use.

Monitoring and decision support

Variance flags, anomaly detection and briefing packs drawn from governed data, with the reasoning shown.

Platform and data readiness

The data foundations, access controls and environments that AI work depends on, including deployment in your own cloud.

Adoption and change

Training, operating procedures and measures of adoption, so tools are used for the work they were built for.

What you keep

What your team keeps after the engagement.

  • Workflows with documented tool permissions and validation
  • Evaluation sets and pass criteria for each important task
  • Audit trails that show inputs, outputs and the human reviewer
  • A clear map of what is automated and what stays with people

Where engagements often start

Challenges we are brought in to solve.

  • An AI pilot is waiting on medical, legal or regulatory review
  • Analysts spend most of their week reconciling and summarizing
  • Leadership wants an AI plan grounded in specific workflows

How we help, by stage and function

Connect with us

Connect with our experts.

Book thirty minutes with the senior practitioner who would lead the work. Bring the decision you are facing, and you will leave with a view on where to start.

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