0%
Of failure rate for generative AI projects in businesses.
Making AI effective where
it counts: in your operations
Interim management and AI integration to regain control of priorities, accelerate execution, and deliver measurable results.
0%
Of leaders can link their AI investments to a measurable financial outcome.
0%
Of AI failures are due to poor management, not the technology itself.
Interim management
for critical phases
When an activity drifts, a strategic project stalls, or a transformation needs to deliver fast, a framework isn't enough. You need operational leadership that can take the reins, set priorities, and hold execution.
Our interim management approach- Read article
Automated Editorial Pipeline: What It Actually Produces
Automated editorial pipeline: 4 layers, specialized agents, quality gate, trilingual output. A practitioner's account of building and running one in production.
- Read article
GitHub Spec-Kit: /specify, /plan, /tasks for Your AI Agent
Your AI agents drift from your intent. The GitHub spec-kit turns your requirement into an executable specification in 3 commands. Here is how it works.
- Read article
BMAD Method: Specialised AI Agents That Deliver What You Specified
Vibe coding produces code fast, rarely what you intended. The BMAD method enforces specialised agents with structured artefacts. Here is how it works.
Integrating AI without losing operational control
AI creates value when it fits within clear priorities, controlled processes, and explicit accountability.
Our enterprise AI integration approachMeasurable results, not advisory recommendations
A useful mission is judged on what it changes in operations, not on the quality of the slides. From day one, we clarify objectives, the indicators to track, and the initiatives to prioritise. The goal is simple: produce visible, readable, and measurable effects.
WHAT YOU BRING IN
Business goals Key processes Constraints Requirements Internal teams Existing tools
WHAT WE STRUCTURE
Use case framing Vendor selection Technology choice AI workflow Human checkpoints
WHAT YOU OWN
Running AI system Documented workflows Trained team Clear accountability Full independence
Our latest missions
Delivered
Telecom & Fintech · Africa
A telecom operator needed to launch a super-app across two markets simultaneously — two distinct operating scenarios, multiple stakeholders, under acquisition pressure. We scoped and built the product, structured two distinct go-to-market scenarios — the client chose one and deployed it.
Delivered
Community Marketplace · Africa
An e-commerce marketplace had to go from zero to a viable market in under two years — positioning, branding, organisation, go-to-market, and building an engaged community of buyers and sellers. We structured and led end-to-end delivery to €1.25M GMV in 18 months.
In progress
Community Cooking · Europe
A cooking enthusiast wanted to turn daily meal prep into a driver of social connection and savings. We structured a "collective cooking at home" operational model and designed the product experience through a mobile app orchestrating batch cooking sessions — built around a triple gain: 50% cost savings, time efficiency, and wellbeing.
Starting
Agentic Delivery · France
A French software company needed to scale client deployments without scaling headcount. We are designing a system of autonomous AI agents under human supervision to orchestrate and deliver client projects — from onboarding to go-live.
Frequently asked questions
AI projects don't fail because of the technology — they fail because no one owns both the business intent and the delivery. Izybiz takes the operational role: we frame the use cases, run the deployment, and make sure results are traceable.
We quote based on your scope. Book a call and we'll give you numbers upfront. Transparency first.
You see automations working in 2–3 weeks. Full deployment depends on your systems. Most teams are productive within 6–8 weeks.
No. We adapt to how you work today. If a process is broken, we'll tell you — but we don't impose reorganisation.
Hours saved per week. Deals closed. Features shipped. Errors reduced. We pick 2–3 metrics that matter to you and track them.
We expect changes. Workflows are easy to modify. Pivoting costs time, not extra money.
Both. We start with your specific processes, not generic templates. But we reuse patterns that have proven themselves.