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Practice · Agency

Agency to do
real work.

Answering questions is the start. With agency, your business acts: it drafts the document, processes the intake, reconciles the report, routes the exception — following your policies, using your tools, with humans in the loop for anything that matters.

The operating reality

Most of the week goes to work the business could do itself.

Intake forms, standard documents, reconciliations, status reports, routine approvals — repeatable, policy-bound work that eats your team's week and adds nothing a machine following your own rules couldn't add.

We give the business agency over exactly that work: governed agents built on your knowledge layer, acting within your policies, escalating to your people the moment judgment is required. Your team keeps the decisions; the business does the drudgework — without the data ever leaving your control.

The work it takes on
  • 01
    Intake & processing
    Forms, applications, claims, requests — read, classified, checked against policy, and moved to the next step, with exceptions routed to a person.
  • 02
    Document drafting
    First drafts of standard documents, letters, and summaries — generated from your templates and your knowledge, queued for human review before anything leaves.
  • 03
    Reconciliation & reporting
    Recurring back-office work — cross-checking records, assembling status reports, preparing the numbers your meetings run on — done before the meeting, every time.
  • 04
    Escalation & exception handling
    The system knows what it's allowed to decide and what it isn't — clear escalation boundaries, documented override rules, and a person in the loop by design.
  • 05
    Management decision support
    Options and recommendations grounded in your own operational data and documents — not a model's general opinion — with the sources to check its work.
The engagement ladder

Assess → build → run.

1 · Assess

The readiness assessment

Fixed fee, two scopes. Interviews with the people doing the work — and, in the deep dive, analysis of your actual documents and data. Ends with a scorecard, a friction map, and a 90-day roadmap.

See the two scopes
2 · Build

The decision-support layer

Fixed scope, quoted from the deep-dive evidence. Your knowledge structured into a governed retrieval layer, the assistant embedded in your workflows, evaluation baselines, and the full governance pack — cloud or on-premise.

3 · Run

The monthly operating rhythm

Not maintenance — a cadence. Every month: an executive alignment session, frontline deep work, one or two workflow implementations shipped, and training — scored on a transformation scoreboard your team owns.

The artifacts

What you walk away holding.

Every layer of the method produces a named, owned artifact — not a slide deck. Together they are the operating documentation of your AI capability.

Observe

The Operational Friction Map

Where workflow delays, knowledge bottlenecks, and repetitive decision loops live — each tagged with an estimated time and cost drag.

Structure

The Enterprise Knowledge Graph

Your workflows, policies, systems, and expertise connected into one governed, retrievable intelligence layer — with clear ownership and provenance.

Support

The Operational AI Blueprint

The map of AI-supported workflows, escalation boundaries, human-oversight requirements, and contextual support opportunities.

Govern

The AI Governance & Trust Model

The policy and control set that makes the system safe to scale — access controls, approval thresholds, monitoring — aligned to NIST AI RMF and ISO/IEC 42001.

Start here
Map where your work actually gets stuck

The readiness assessment starts on the frontline — because that's where the friction, and the value, actually live.

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