The deck is done. The thing isn’t built.
Strategy consultants delivered the AI roadmap eight months ago. The engineering team still hasn’t found a free quarter to ship the first prototype. Momentum dies.
TITANOS · AI IMPLEMENTATION FOR BUSINESS
AI Implementation, Delivered
Not consulted. Not slide-ware. Shipped.
You don’t need another deck telling you AI matters. You need the capability built, integrated, and live in production. We diagnose the problem, plan the solution, build it in your repo, and implement it in your environment — 99% Claude Code, 1% expert human review.
Scoping → SOW → ship. Projects priced by scope. No retainer trap.
WHY ENTERPRISE AI PROJECTS STALL
The big-four quote is 12 months and $2M.
Procurement-grade SOWs scale to procurement-grade pricing. Most of what you actually want built doesn’t justify either the calendar or the budget.
Internal teams are at capacity.
Your AI/ML engineers exist. They are fully booked on the current roadmap. New capabilities have to wait or get outsourced to whoever shows up first.
WHAT SHIPS
An outcome that solves the problem we scoped — built, integrated, live in your business. The shape depends on the problem.
✓Custom AI workflow
When the answer is “have your team use AI better” — a Claude Project, custom GPT, or Make.com / n8n flow your team actually opens every day. Lives in your tooling, not ours. Trained on your context, your voice, your data.
✓AI in your codebase
When there's a repo, we commit working code to your GitHub or GitLab — reviewed by your engineers before merge, deployed in your staging then production environment. You own it from day one.
✓AI-run process
When the right answer is “have AI do this work continuously” — doc generation, email triage, research, lead enrichment — we set it up and hand it over. Or operate it as a service if you'd rather. Either way, fully documented.
✓Strategy, scoped sharply
When the real question is “where does AI actually fit here” — we run a 2-week diagnostic ending in a prioritised, costed build list. No slide-deck consulting; the output is what to build next, by whom, in what order.
HOW IT WORKS
Three steps, no surprises.
SCOPING CALL · 30 MIN
You tell us what you’d build if delivery wasn’t the bottleneck. We tell you whether it’s a 4-week thing, a 12-week thing, or a “this needs to be three engagements” thing. No pitch. No slides.
FIXED-SCOPE SOW + DEPOSIT
Within 72 hours of the call you receive a written SOW: scope, milestones, fixed price, delivery date. Approve, sign, pay 30% deposit. The remaining 70% is milestone-billed.
SHIP IN YOUR ENVIRONMENT
Kyle launches a Claude Code instance scoped to your engagement. Daily commits to a branch in your repo. Mid-engagement demo. Final delivery against SOW acceptance criteria. Done.
ONE ENGAGEMENT · PROJECT-QUOTED
No tiers, no menus, no fixed-band pricing. One engagement shape, quoted after a 30-minute scoping call.
AI IMPLEMENTATION FOR BUSINESS
AI Implementation for Business — problem solved, built, shipped
From AU$4,997scoping call first · project-quoted by scope
The arc: we diagnose the problem, plan the solution, build it in your repo, and implement it in your environment. One model or many; one workflow or a full system. Quoted after a 30-minute scoping call.
Project-quoted within range. You see the full SOW with the fixed price before you pay a deposit.
ABN 34 318 502 254 · AU jurisdiction · single-operator practice
Powered by Claude Code — Anthropic’s flagship reasoning model, AI-native delivery end-to-end
Sister capability Titanos Security runs 1,700+ external scans this month
Methodology: titanos.tech/methodology
THE QUESTIONS EVERY CTO ASKS FIRST
READY TO SCOPE A BUILD?
Tell us what you’d build if delivery wasn’t the bottleneck. 30-minute scoping call. No deck. No salespeople. One operator.
BOOK THE SCOPING CALL