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AssureLens - Agentic AI for Energy
AssureLens overview

Your journey with AssureLens

From your first project to the next well's learning.

AI helps organise the evidence. Your people review the findings, own the decisions and carry the learning forward.

Continuous learning

Every reviewed outcome feeds the next well. Hover a stage to explore it.

  1. 01 · Project contextSet up your well

    Create a project, define the well and bring in the people who will plan, review and make decisions.

    You establish the project context and review team.

  2. 02 · Source evidenceBring the evidence together

    Upload programmes, daily drilling reports and end-of-well records. Select relevant historical wells when available.

    Your team has one authorised collection of source material.

  3. 03 · AI analysisGenerate draft insights

    AI agents extract and organise risks, opportunities and lessons, keeping the connection to the source record.

    You receive a draft insight register to inspect.

  4. 04 · Expert reviewReview with your experts

    Check citations, test relevance to the well, discuss the findings and accept, refine or reject them.

    Authorised reviewers finalise the findings that carry forward.

  5. 05 · Owned actionsPut decisions into action

    Use the reviewed findings in planning and operational reviews. Assign owners and due dates to agreed actions and track follow-through.

    Your team can see what needs doing and who is responsible.

  6. 06 · Reusable learningCapture learning for the next well

    Review outcomes, prepare end-of-well reporting and retain the context behind decisions and accepted lessons.

    The next team starts with experience it can find and reuse.

The cycle repeats: each reviewed outcome becomes an input to future planning - every well informs the next.

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Which workflow should we improve first?

Bring a planning challenge, a set of operational records or a recurring review task.