Industries

Where we work

We are most useful in environments where the work is knowledge-intensive, the approvals are real, and the cost of getting it wrong is measured in more than time. The common thread is not an industry code — it is a recurring workflow with multiple people, systems, and handoffs, and enough financial weight to justify changing it properly.

Healthcare and pharmaceutical

Where review is the constraint, not the writing.

Medical, legal, and regulatory review exists for good reason, and no AI system should be positioned as a way around it. The opportunity is in everything that surrounds review: assembling the package, locating the approved claim, checking that a reference supports what it is cited for, and making the state of a review cycle visible while it is still running.

Workflows we look at first

  • Medical, legal, and regulatory content preparation
  • Approved-content and claims retrieval across fragmented repositories
  • Reference and citation validation before submission
  • Content quality assurance against internal standards
  • Structured content reuse across channels and markets
  • Knowledge retrieval limited to approved sources
  • Intake, triage, and routing with a recorded handling trail
  • Operational and compliance reporting
  • Review-cycle visibility for the people waiting on it

What shapes the design

Access controls, source-of-truth questions, validated systems, and audit expectations are treated as design inputs from the first architecture conversation. Nothing we build replaces medical, legal, regulatory, or compliance judgment.

Agencies and professional services

The work between the work.

Agency margin is lost in the operational layer — scoping a brief, building an estimate, assembling a status report, locating the deliverable that answered this exact question eight months ago. It is high-volume, high-judgment work that is rarely documented anywhere a system can reach.

Workflows we look at first

  • Project intake and scoping from unstructured briefs
  • Estimate and proposal generation as a reviewable first draft
  • Resource-planning support
  • Statement-of-work preparation
  • Knowledge and deliverable retrieval across past accounts
  • Quality-control workflows before client delivery
  • Client reporting assembled from the systems of record
  • Content operations across formats and channels
  • Project-risk identification from signals already in your tools
  • Visibility measurement — how AI assistants describe a client, scored against that client's approved messaging

What shapes the design

Client confidentiality boundaries, per-account data separation, and the difference between internal drafts and client-facing output are designed in explicitly, not left to the discretion of whoever is using the tool.

Enterprise operations

Processes that outgrew the systems holding them.

Many operational workflows work only because experienced people know which exceptions to catch. That knowledge is expensive, hard to hire for, and invisible until someone leaves. These processes are usually document-heavy, spread across systems that were never designed to talk to each other, and impossible to reason about from a dashboard.

Workflows we look at first

  • Document-heavy workflow transformation
  • Data reconciliation across systems that disagree
  • Inventory and catalog operations
  • Customer-service support with human handoff
  • Internal knowledge systems built on approved material
  • Reporting and decision support
  • Repetitive analysis routed through human approval

What shapes the design

The starting question is which decisions must stay with a person and which preparation work can be handed to a system. Almost everything else follows from where that line is drawn.

Each list above describes where we look for value in a given environment — the workflows an assessment examines, not a catalogue of delivered projects. Which of them is worth changing in your organization is an empirical question, and it is the first thing an assessment answers.

Recognize your operation in one of these?

Tell us how the workflow runs today — the people, the systems, the approvals, and where it stalls. We will tell you whether it is a credible candidate.