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Bring together causal measurement, AI agents and Lifesight experts in an engagement shaped around your business. Agree the work, responsibilities and support you need.
Services
The approach
Agree the decisions, methods and delivery responsibilities. Run supported workflows with your team and agents, bring in Lifesight experts where useful, or scope a more managed operating model.
Establish the program
Start with business questions, source coverage and outcome definitions. Work through data readiness, method design and the first measurement milestones with clear owners.
People + agents
Define what your team operates, what Lifesight specialists support and what agents prepare. Expert involvement can span design, interpretation, planning and agreed execution support.
A working cadence
Agree a review rhythm for the evidence and outputs. Refine the model, tests and workflows as new information arrives, then expand where the work is useful.
How we work together
Each stage produces something the team can use. We scope the engagement around your readiness, priorities and operating model, then agree who owns each part of the work.
Frame the decision
Choose the first growth question, the outcome it affects and the people responsible. Set a focused initial scope and define what useful progress looks like.
You leave with: Decision brief and success criteria
Establish the foundation
Connect the relevant sources, reconcile definitions and review coverage. Agree the measurement methods and baseline appropriate to the question.
You leave with: Data readiness review and measurement plan
Design and run the workflow
Map the cue, investigation, proposed output and review step. Introduce supported agent actions with clear scope and authorization.
You leave with: A working workflow with owners and review points
Review, learn and expand
Assess the quality of the evidence and the usefulness of the output. Refine the model, tests and workflow before expanding into the next decision.
You leave with: An ongoing measurement and decision cadence
Agentic systems in practice
Work with your team and Lifesight experts to define what the agent should watch, what useful work looks like and who decides what happens next.
A shared operating model
Your team brings the business context, priorities and decision owners. Lifesight experts bring the agreed measurement, planning and execution support, with agents handling defined workflows. Every engagement is scoped individually so everyone knows what they own.
A few useful answers
Every engagement is scoped individually. Together, we agree the measurement work, expert involvement, responsibilities, deliverables and level of ongoing support.
Yes. You can operate supported workflows with your own team and AI agents. Agree the scope and authorization of each workflow, and bring Lifesight experts into the work where needed.
An engagement can include expert help with interpretation, planning, workflow operation and execution. The exact responsibilities and supported actions are agreed during scoping.
MCP connects your Lifesight context to supported AI assistants. It gives your team another way to access the platform; available operations depend on the connection and permissions.
Timing depends on scope and data readiness. As a planning guide, connectors can be established in days, attribution may take around one to two weeks, and an initial MMM around four to six weeks. Agree milestones with the team for your engagement.
Discuss changes as the program develops. Your team may take on more work, add expert support or expand supported agent workflows. Agree revised scope and responsibilities before expanding.
Connect causal marketing mix modeling, incrementality testing and adjusted attribution. Understand the impact of your investment, test what matters and bring stronger evidence into your next move.
Agents stay close to your goals, data and plans. When something deserves attention, they bring you a cue with the context to decide what happens next.
