AI & technology consulting
AI applied by people who know what the office actually does.
We use modern AI in our own practice every day — reading legacy systems, making large bodies of records searchable, taking the tedium out of technical work. That is the basis on which we advise other organizations.
What we do not do is arrive with a technology looking for a problem. The useful question is never whether AI can do something. It is whether doing it changes anything about how the office runs.
Services
Six places AI is genuinely worth applying to government work.
Each of these is a capability area rather than a product. Engagements usually begin with one and expand only when the first has produced something an office can point to.
AI Knowledge & Information Access
Most of what an office knows is not in a system. It is in procedure binders, policy memos, email threads, scanned records and the two people who have been there longest. We make that body of knowledge searchable and answerable in plain language.
What changes
- Cut the time staff spend hunting for a procedure or precedent
- Give new hires a way to answer their own questions on day one
- Reduce the institutional knowledge that leaves when someone retires
Document Intelligence
Public-sector work is document work. We apply AI to classify, extract, summarize and retrieve information from filings, correspondence, orders and archives that were never structured for it.
What changes
- Turn scanned archives into records that can be searched and reported on
- Pull the fields that matter off a document without manual data entry
- Find the relevant record without knowing which drawer it was filed in
Workflow & Automation
We look at what an office repeats — the hand-offs, the re-keying, the notices, the reconciliations — and remove the parts that do not need a person, without disturbing the parts that do.
What changes
- Reduce repetitive administrative work and the errors that come with it
- Make the same process produce the same result across every desk
- Free experienced staff to spend time on the cases that need judgment
Legacy System Modernization
Systems that have run for twenty years hold decisions nobody wrote down. We read them — the code, the schema, the actual behaviour — and produce a modernization path that does not require betting the operation on a single cutover.
What changes
- Understand what an existing system really does before replacing it
- Reduce the risk concentrated in undocumented software and single owners
- Modernize in stages, without interrupting work that cannot stop
AI Strategy & Advisory
Not every problem is an AI problem. We help leadership tell the difference, prioritize the uses that create measurable operational value, and set aside the ones that will not survive contact with a public-records requirement.
What changes
- Identify where AI is genuinely worth doing — and where it is not
- Sequence the work so early projects fund and de-risk later ones
- Address records, privacy and auditability before deployment, not after
AI-Enabled Software Solutions
When the right answer is something that does not exist yet, we build it — targeted AI capability designed around one specialized government workflow rather than a general-purpose platform an office has to adapt to.
What changes
- Solve the specific problem instead of configuring around it
- Fit the tool to existing systems, records and security requirements
- Ship something narrow that works, rather than something broad that does not
How we think about it
A pragmatic view, stated plainly.
AI is ordinary in our practice at this point. That familiarity is exactly what makes us conservative about where we recommend it.
The work comes before the model
We do not start with what AI can do. We start with what the office does, where the time goes, and which of those places would tolerate being automated.
Narrow beats general
A tool aimed at one workflow, evaluated against that workflow, is worth more than a broad assistant nobody is accountable for.
Public records change the calculus
Retention, disclosure, sealed matters and audit obligations are not deployment details. They decide what is buildable at all.
We will say no
Some processes should stay manual. Telling you which ones is a more valuable output than a proof of concept that quietly gets switched off.
AI & consulting
Not sure whether AI is the right answer?
That is a reasonable place to start, and a short conversation usually settles it. We would rather tell you a project is not worth doing than run it.