We build AI that works
for your business. Today.
From agentic AI and workflow automation to intelligent document processing — end-to-end delivery for mid-market companies ready to move fast.
Three AI practice areas.
One accountable owner.
We don't hand you a strategy deck. We architect, build, and deploy — then stay accountable to the outcome.
Built on the platforms that matter.
Most AI tools guess.
Ours tells you what it doesn't know.
The hardest question a regulated buyer asks is not what the system can answer — it is what happens when it cannot.
Most AI projects never ship.
Ours start at $5,000 and take three weeks.
S&P Global found that the average organization scrapped 46% of its AI proofs-of-concept before production. In 2025, 42% of firms abandoned most of their AI initiatives outright — up from 17% a year earlier. The obstacle is rarely the technology. It is an engagement model that bills for months before anything runs.
| Westridge | Hire in-house | Specialist AI firm | Large consultancy | |
|---|---|---|---|---|
| What it costs to start | $5,000 | $205K–$330K a year, fully loaded | $25K–$50K for a scoped POC | Quoted time and materials |
| Time to something running | 3 weeks | 6–12 months, including the hire | 2–6 months | Multi-month programs |
| Who does the work | One senior architect | Your first AI hire | A team of 1–5 | Partner-track pyramid, blended rates |
| What you are left holding | Plain markdown in your own repo | Whatever they built, if they stay | Deliverables yours; methodology retained | Deliverables yours; platform retained |
You get continuity of thinking and a single accountable owner, not a rotating team. The trade-off is real: there is no bench behind us. That’s why every artifact is plain text in your own repository, readable and maintainable without us.
AWS states its Professional Services arm is best positioned for large programs of work, and directs smaller buyers to partners. Microsoft runs a separate SMB partner channel rather than delivering directly. Companies under 500 people are not their model.
Not a discount. One senior architect with an AI-augmented delivery stack ships what used to need a team, so the cost base is structurally lower. The saving shows up in your price, not in our margin.
In-house cost derived from US Bureau of Labor Statistics OEWS wage data and the BLS Employer Costs for Employee Compensation benefits load. Project abandonment figures from S&P Global (survey of 1,000+ enterprises). Consultancy cost ranges reflect published rate cards, including UK G-Cloud and US GSA schedules. Large-consultancy engagements are quoted time and materials; no public minimum is published. Hyperscaler engagements may be partly co-funded through programs such as AWS MAP, which narrows the gap on cloud work.
Two industries.
One problem we
know how to solve.
We work with owner-operated and mid-market businesses — 10 to 500 employees. Every engagement starts with a specific industry pain, not a technology pitch.
- Advisors spending 20+ minutes locating a single policy
- New staff can't find answers without asking a senior person
- Compliance prep means hunting through dozens of documents
If you're a 40-person RIA whose ADV, policies and SOPs live across a shared drive and three inboxes, this is the engagement that makes the whole corpus answerable in plain English — with a citation on every answer.
- The same contracts, policies and SOPs searched manually every week
- Junior staff blocked waiting on a senior person for answers
- Institutional knowledge walking out the door with turnover
If you're a practice where three partners are the only people who know where anything is, this is the engagement that turns that knowledge into a queryable layer — one that abstains rather than guessing when a source is missing.
Not your industry? The patterns repeat — book a scoping call and we'll tell you if there's a fit.
Ready to find out where AI moves the needle for you?
Start with the AI Readiness Assessment. A clear plan in 3 weeks. No guesswork, no vague roadmaps.