TailorAI · Custom AI systems
Off-the-shelf software was never built for you. We design, build, and operate AI systems fitted to how your organization already works — with written acceptance criteria and one accountable partner.
Scope → Build → Operate
Trusted by operators across sectors
- Regional banks
- Defense integrators
- Multi-site clinic groups
- Precision manufacturers
- Regional retailers
- Municipal governments
Why tailored
Off the shelf fits no one.
Generic software makes your team work like everyone else's. A tailored system starts from your job history, your approval chain, your margin rules — and it shows. Drag the divider.
Drag to compare · generic vs tailored
What we build
Four practices, one accountable partner.
Every engagement draws on the same stack: agents and automation, custom applications, data and analytics, and the advisory discipline that decides what gets built at all.
AI agents & automation
Agents that answer customers and run internal operations using your data, your policies, your voice.
ExploreCustom AI applications
Purpose-built applications — knowledge systems, proposal automation, decision support — fitted to one organization.
ExploreData & analytics
Pipelines, reporting, and forecasting built on the data you already generate — cleaned, connected, and current.
ExploreAI strategy & advisory
Sector-literate advisors who map where AI belongs in your operation — and where it doesn't.
ExploreScope
Two weeks inside your workflow — real documents, real timings, real people — before we propose anything.
Build
A fixed-price build against written acceptance criteria you can hold us to. No platform migration, no surprises.
Operate
Deployed, measured monthly against the acceptance criteria, and maintained under managed operations.
The engagement model behind every practice: Scope → Build → Operate.
See the full methodologyWhere we work
Sector depth, not sector decks.
Big-4-grade specialization without the big-4 bench rotation. Each practice team works one sector's regulations, systems, and vocabulary — so scoping starts from how your industry actually operates.
Proof
Fitted systems, measured results.
Precision machining shop (~80 employees)
Quotes in one morning, priced from actual job history
A precision machining shop cut quote turnaround 82% with estimates assembled from a decade of its own job costing.
Manufacturing & industrial · Mid-market
Read the case studyMid-tier defense integrator (cleared workforce)
Proposal volumes drafted from past performance, inside the boundary
A defense integrator cut proposal-volume drafting time 68% with capture automation that cleared its security review on the first pass.
Government & defense · Government
Read the case studyRegional commercial bank (~2,000 employees)
Commercial lending intake, four days to one
A commercial bank cut lending document intake time 75% with classification and extraction that builds its own audit file as the work happens.
Financial services · Enterprise
Read the case studyInsights
What we're learning in the field.
AI industry update — summer 2026
A plain-language briefing for operators: what changed this quarter in enterprise AI adoption, procurement, and governance — and what to do about it.
Jul 2, 2026 · 3 min read
Build vs buy for AI agents: an honest framework
When an off-the-shelf agent is the right call, when a tailored one is, and a scoring method that keeps the decision honest.
Jun 30, 2026 · 3 min read
What a two-week scoping phase actually looks like
Day by day: how we sit inside a client's workflow, measure where the hours go, and decide whether AI belongs there at all.
Jun 18, 2026 · 2 min read
Tell us what isn't working.
A 30-minute call. You describe the work; we tell you honestly whether AI belongs in it. No deck, no pressure.