Services
What We Build
Six services, one aim: AI that earns its place in your operations. We scope honestly, start small, prove value, and hand you something your team can run without us.
AI Strategy & Roadmap
Most AI projects fail because they start with a tool instead of a problem. We start with your operations: where time goes, where errors creep in, and where your people are stuck doing work a machine should do.
You leave with a ranked, costed roadmap: which use cases to attempt, in what order, what each one is worth, and which ones we recommend you skip.
What You Get
- Workflow audit across the departments you choose
- Ranked use-case backlog with effort and value estimates
- Build-vs-buy recommendation for each use case
- Data readiness and risk assessment
- A 12-month roadmap your leadership can act on
Typical engagement: 2–4 weeks.
Employee AI Training & Enablement
Giving your team a chatbot license is not training. We run hands-on sessions built around your actual documents, your actual workflows, and the actual mistakes people make when they start.
The goal is a team that reaches for AI on the right tasks, checks its output properly, and knows exactly where the line is on client and confidential data.
What You Get
- Role-based workshops tailored per department
- A prompt library built from your real recurring tasks
- Review and quality-control habits that catch AI errors
- A written internal AI usage policy and guardrails
- Champion training so the capability outlives our engagement
Typical engagement: half-day to multi-week programs.
Agentic AI & RAG Applications
A general-purpose model knows the internet. It does not know your policies, your contracts, your pricing, or your history with a given client. Retrieval-augmented generation fixes that: the assistant answers from your material and cites where each answer came from.
Agentic systems go a step further. They complete multi-step work across your tools, with human approval at the points that matter.
What You Get
- Retrieval over your documents, records, and knowledge base
- Answers with citations, so every claim is checkable
- Multi-step agents that complete real tasks end to end
- Human-in-the-loop approval on consequential actions
- Audit logging, access controls, and evaluation harnesses
Typical engagement: 6–12 weeks from pilot to production.
Custom AI Development
When the off-the-shelf product does not fit, and for most specialized operations it does not, we build the thing you actually need. Working software, integrated with the systems you already run, delivered as code you own.
No per-seat license on your own workflow, and no vendor deciding your roadmap for you.
What You Get
- Document intake, extraction, and processing pipelines
- Internal tools your staff use daily
- Customer-facing AI products and features
- Integration with your CRM, ERP, and document systems
- Source code, documentation, and deployment handover
Typical engagement: 8–16 weeks, scoped per project.
Process Automation
The highest-return AI work is usually the least glamorous: the intake form somebody retypes into three systems, the weekly report assembled by hand, the queue of documents that has to be read and routed.
We find those loops, automate them, and measure the hours returned to your team.
What You Get
- End-to-end mapping of the process before we touch it
- Automated routing, classification, and data entry
- Exception handling that escalates to a human correctly
- Before-and-after measurement of time and error rates
- Monitoring so you know when something drifts
Typical engagement: 4–8 weeks per process.
Data & Analytics
Most organizations already hold the data needed to answer their hardest questions. It is just scattered across systems that do not talk to each other.
We consolidate it, make it queryable in plain language, and build the reporting your team will actually open.
What You Get
- Data consolidation across your existing systems
- Natural-language querying over your own data
- Dashboards and reporting built around real decisions
- Forecasting and trend analysis where the data supports it
- Data quality checks and documentation
Typical engagement: 4–10 weeks.
Not Sure Where to Start?
That is what the first conversation is for. Bring your messiest workflow and we will tell you honestly whether AI is the right tool for it.