Accelerate software delivery without increasing technical debt, operational chaos or hidden rework.
You leave knowing where your delivery system is leaking margin — whether we work together or not.
The question is not whether teams use AI. It is whether AI adoption moves margin, growth and delivered value — or just activity.
AI can accelerate code and quietly multiply review burden and risk. Guardrails decide which of those you get.
Predictable delivery and a clear cost-to-deliver matter more than raw speed. We measure both against a baseline.
A €7M software consultancy grew to €9M in 12 months while improving profit per delivered hour by 15% — through OKRs, delivery discipline and AI-enabled workflows.
Pending client-approved case: “A product team reduced rework by X% and improved delivery predictability from X% to X% in X weeks.” Published only when the client approves the numbers.
A B2B software client cut customer acquisition cost by 74% and increased qualified leads by 90% by fixing positioning before adding spend.
Every number above has a baseline, a timeframe and a client who approved it. That is the only kind of metric we publish.
Your teams may already use Copilot, Claude, ChatGPT, Cursor or other AI tools. Some people use them every day. Others barely touch them.
Managers expect productivity gains. Developers worry about quality. Leadership wants ROI. But the core problems often remain:
The issue is not access to AI. The issue is whether your workflows, quality standards and metrics have changed enough to capture the value.
No serious transformation.
No safe AI adoption.
No proof of impact.
| Week | Focus | Outcome |
|---|---|---|
| Week 1 | Diagnose | Delivery profitability leak map and AI maturity baseline |
| Week 2 | Prioritise | AI use case portfolio and risk map |
| Week 3 | Guardrail | Quality, security, review and validation standards |
| Week 4 | Pilot | Measured workflow experiment and go/no-go recommendation |
Operational load: your team invests 2–3 hours per week. No workshops that stop delivery. We work inside your existing rituals.
You will know where the opportunity is, what risks need to be controlled, and whether a bigger programme makes sense — or not.
Not every profitability problem starts or ends with AI. Sometimes the constraint is unclear product strategy, fragmented priorities, weak delivery flow or an operating model that cannot respond fast enough.
Turn AI adoption into measurable improvements in margin, predictability and quality, with baselines and engineering guardrails.
Improve how teams plan, collaborate and deliver. Replace ceremony-led change with a measurable roadmap focused on flow, value and business outcomes.
Connect customer needs and business strategy to product decisions through discovery, validated learning and value-based prioritisation.
Help leadership align strategy, structure, people, processes and technology so the organisation can respond to opportunities faster.
Build practical Scrum, Product Ownership, Kanban and Agile Leadership capability through courses applied to real working situations.
A 45-minute working session with Nicolás (not a salesperson, not a junior) for CEOs, CTOs, COOs and Heads of Engineering.
What this is not: a tool demo, a generic sales call, or agile coaching disguised as strategy.
Availability: a limited number of diagnostics per month, run personally.
If the Diagnostic shows real leverage, the next step is a 4–6 week Pilot Sprint — fixed price agreed before start. No surprises, no scope creep.
Our commitment: if the pilot does not show measurable improvement over the baseline, Optimum Agile recommends not scaling and includes that recommendation in the final report.
If the Diagnostic shows no leverage, this is communicated in the first 20 minutes and the client keeps the roadmap.
The work uses the client’s real delivery system: backlog, pull requests, test strategy, coding standards, review process and Definition of Done.
Your code and data stay yours. NDA by default. No code leaves your environment. AI usage during the engagement follows your data policy, not ours.
The goal is not to make developers use more AI. The goal is to use AI where it improves quality, speed, learning and control.
AI Delivery Profitability Scorecard — a 10-minute interactive self-assessment. Answer online, get your maturity level (1–5) and your top leak immediately.
One 45-minute working session. A written 30-day roadmap. Yours to keep either way.