The Olyra 120.
Four phases. 120 days. First measurable wins inside the first month, where scope and readiness permit. The same method behind every Olyra engagement — built from how implementations actually succeed.
What is the Olyra 120? It is Olyra's four-phase implementation method that takes an organization from AI strategy to working, measured systems in approximately 120 days. Phase 1, Assess (days 1–30), covers discovery, strategy, governance, workflow mapping, baselines — and the first quick wins in production. Phase 2, Illuminate (31–60), covers solution design, prioritization, architecture, and a working pilot. Phase 3, Accelerate (61–90), covers production build, integration, testing, and team training. Phase 4, Expand (91–120), covers deployment, measurement against baseline, optimization, and extension. Each phase ends at a decision gate where you can continue, adjust, or stop with usable outputs in hand.
A fast start inside a structured program.
Quick wins in ~30 days
Low-risk, high-friction tasks — report assembly, document data entry, email triage — deployed to production during Phase 1, where scope and readiness permit. Small, safe, visible: they fund the trust the bigger changes need.
A working system in ~120 days
The complete arc: strategy and governance, a proven pilot, production build with training, then deployment measured against baseline — with an expansion plan for what's next.
Timeframes are design targets, not guarantees: client readiness, integration complexity, data quality, procurement, and regulatory review can extend specific phases. What the method guarantees is sequence, checkpoints, and usable outputs at every gate.
Activities, deliverables, and gates
Understand, govern, land quick wins
Activities: stakeholder interviews · workflow & systems mapping · data readiness review · usage policy & governance setup · baseline measurement · 1–2 quick wins deployed.
Deliverables: Opportunity Map, governance pack, baselines, first live improvements.
Your side: executive sponsor (1–2 h/week), access to the people doing the work.
Gate 1: priorities confirmed, governance approved — proceed, adjust scope, or stop with the roadmap.
Design and prove the highest-value workflow
Activities: solution design · build-vs-buy decisions · architecture & integration plan · pilot on real historical data · review-workflow design with the team.
Deliverables: working pilot, architecture doc, adoption plan, go/no-go with numbers.
Your side: workflow owner, sample data, pilot reviewers.
Gate 2: pilot meets pre-agreed success criteria — or an honest no-go with the diagnosis.
Build production-grade, train the team
Activities: production build · system integration · guardrail enforcement & logging · edge-case testing · SOPs & training · parallel running.
Deliverables: production-ready system, trained team, runbooks, cutover plan.
Your side: IT counterpart, training time for the team, parallel-run tolerance.
Gate 3: a full week of real volume in parallel, no surprises — cutover authorized.
Deploy, measure, compound
Activities: production cutover · monitoring & tuning · measurement vs baseline · executive results review · next-workflow selection.
Deliverables: results report against baseline, hardened system, prioritized expansion plan.
Your side: results review with leadership; decide the next cycle.
Gate 4: the improvement shows up in a metric your CFO already tracks.
Four threads run through every phase
Governance
Policies enforced from day one — usage rules, data boundaries, human-review gates, audit logging.
Workforce participation
Built with the people who do the work; training is a deliverable, not an afterthought.
Measurement
Baseline before, evidence after — reported in metrics leadership already tracks.
Security
Data boundaries agreed with IT before anything touches production.
Method FAQ
Is 120 days guaranteed?
It's a design target, not a stunt. Some engagements finish faster; complex integrations, procurement cycles, or regulated review steps can extend specific phases — flagged during design, not discovered after. The structural guarantee is checkpoints: you're never 90 days in without working software, and every gate leaves you with usable outputs.
Can we run just one phase?
Yes. The AI Operations Audit delivers Phase 1's assessment layer as a fixed-scope product; strategy, governance, and vendor-selection services stand alone; and phase boundaries are clean handoff points if your team takes over delivery.
What do quick wins look like in practice?
A daily report that assembles itself. Invoice data that stops being re-typed. An inbox that triages itself with human approval. Small, low-risk, reversible — chosen precisely because they can ship inside a month and be felt immediately.
What happens after day 120?
Three common paths: your team runs it (runbooks and training are handed over), a light advisory retainer (monthly optimization and governance reviews), or the next Olyra 120 cycle on the following workflow cluster — the Phase 4 expansion plan makes that decision concrete.
Find out what AI can actually do for your operations.
Start with an AI Operations Audit — a fixed-scope diagnostic that maps your workflows, scores your AI readiness, and hands you a prioritized 120-day roadmap. If we don't find real opportunities, you'll know that too.
Request an AI Operations Audit → Prefer to talk first? Book a 30-minute scoping call.