When AI should improve the business,
but another pilot won’t.
Mildly AI helps established companies redesign valuable products and workflows around AI, then prove whether they can meaningfully improve cost, speed, quality or revenue.
Where AI initiatives get stuck:
- AI initiatives start with tools and demos rather than measurable business problems.
- Promising prototypes struggle with real data, unreliable outputs, adoption and integration.
- Teams lack clear evidence of business value, operational costs and a path to production.
How we approach it:
- Start with the business: Identify one high-value workflow and establish its current performance baseline.
- Redesign the workflow: Determine what AI should do, what conventional software handles, and where human judgment is needed.
- Prove before scaling: Build with real data; evaluate quality, reliability, and costs for production.
“Their combination of speed, deep technical expertise, and business understanding helped accelerate our journey towards actionable technology intelligence.”
Built for a sovereign investment organisation, Sentio transforms fragmented technology research into company-specific strategic intelligence, supported by traceable evidence and a self-service AI workflow.
The 3-Step Sprint Process
One valuable problem. A few weeks. Real evidence before major investment.
FIND
Identify the business problem with highest potential impact. Understand users, constraints, data availability and existing baseline.
REDESIGN
Design end-to-end workflow around AI, conventional software and human judgment. Address usability, integration, reliability and operating costs.
PROVE
Build a working solution with real data. Evaluate quality, failure modes, costs and business value before committing to larger implementation.
You leave with:
- Working prototype tested against real workflows
- Evaluation framework covering quality, reliability and cost
- Business-value assessment with measurable evidence
- Technical architecture and practical production roadmap
Best fit:
Established organisations with real customers, existing systems and valuable workflows where AI can create meaningful impact—but AI is not their core capability.
Not designed for generic AI strategy decks, superficial chatbot integrations or frontier-model research.
Senior engineering. Measurable business outcomes.
- 20+ years building technology products: Track record delivering mission-critical software, data pipelines, and scalable architectures across complex operating environments.
- Applied AI & systems expertise: Over a decade applying ML/AI to operational problems, prioritizing precision, operational guardrails, and dependable system design over hype.
- Practical paths to production: We don't stop at prototypes or hand off advisory decks. We prove quality, cost, and ROI using real data before scaling.
Let's identify the opportunity, test what matters, and decide whether it's worth building.
Book a direct 30-minute conversation to discuss your workflow, feasibility, and whether a sprint makes sense.