AI Strategy Advisory
We architect the system. Your team ships it. Most engagements take 4–6 weeks.
The challenge
Three patterns we see in mid-market companies, repeatedly.
Six platforms, three trial accounts, one consultant from a Big 4 who's never built an agent. Twelve months later, no production system.
A working demo. A board update. A quarterly OKR. Then the engineering team gets pulled to revenue work and the demo dies.
Your team can build software. They've never architected an agent system, evaluated an LLM, or written an eval. They need a translator, not a vendor.
If two of these sound familiar, we should talk.
The engagement
A production-grade architecture for one agent use case, ready for your engineering team to build from Monday.
Process
30 minutes. We map your current state and constraints. If we're not the right fit, we'll say so and recommend who is.
A one-page proposal: scope, deliverables, timeline, price. Fixed-fee. No services hours bloat.
Async progress in a shared workspace. Two live sessions per week. Your team is in the room — this is a transfer, not a handoff.
A backlog your engineering team owns. Optional follow-on advisory if you want it. Most clients don't need it.
Selected work
Designed and built an autonomous agent framework with risk-tiered execution — low-risk actions run autonomously, high-risk actions require human approval. Local-first architecture for data sovereignty. Currently in production handling multi-step operational workflows.
Architected the AI layer for a contact-center transformation across 3 markets. Agent routing, intent classification, and escalation logic. Reduced average handle time by 34% in the first quarter post-deployment.
Nearly two decades of enterprise IT delivery in regulated industries — banking, insurance, government. Large-scale system integrations, vendor management, and architecture governance for organizations with 1000+ employees.
Weekly publication covering practical AI implementation for operations leaders. Frameworks, teardowns, and vendor-neutral guidance. Read by CTOs and Heads of AI across APAC and North America.
Frameworks
A framework for determining which AI agent actions can run autonomously vs. which require human-in-the-loop approval, based on reversibility and blast radius.
Decision framework for AI capability sourcing. Maps use-case complexity against internal capability to recommend build, buy, or partner for each initiative.
Five-dimension assessment covering data maturity, engineering capability, executive alignment, use-case clarity, and governance readiness. Scores 1–5 per dimension.
Questions
A boutique. One senior architect leading every engagement, with specialist contributors when an engagement needs them. You'll always work with the same person.
Hourly billing aligns the consultant's incentive with dragging work out. Fixed-fee aligns ours with shipping fast and getting referred.
We architect. Your team builds. If you don't have an engineering team, we're not the right fit — we'll recommend partners who do delivery.
Mid-market, typically 50–1000 employees, with an existing engineering function and a real budget for AI. Series B through pre-IPO is the sweet spot.
Then you probably don't need us. Our value is highest where there's strong engineering but a capability gap specifically on AI architecture and evals.
Diagnostic calls within a week. Engagements typically begin 2–3 weeks after signing. We work with two clients at a time, maximum.
Singapore. Engagements run globally. We've delivered across APAC, EU, and North America.
We don't take production data into our environment. Architecture and design only. Standard mutual NDA on every engagement.
30 minutes. No deck. No pitch. We'll map your current state and tell you what we'd do if it were ours.
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