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AI & Software Development

We find the highest-leverage AI use case, then build the software that makes it operational: integrated with your systems, tested with real users, and handed over with the code.

delivery
audit → build → deploy
runtime
client-owned infrastructure
governance
GDPR · EU AI Act readiness

// delivery model

Two lanes. One production outcome.

Start with a focused audit when the target is unclear. Move directly into build when the use case is already known. In both cases, the architecture and delivery team stay connected.

deployment output

Working software, not a strategy souvenir.

Feature flags, observability, documentation, infrastructure-as-code, staff handover, and a compliance posture defined before the first model touches production data.

Track 012 weeks

AI & Software Audit

Map data, workflows, bottlenecks, and feasibility. Leave with a prioritised use-case shortlist and a fixed-scope build plan.

Current-state assessment
Use-case scoring
Architecture blueprint
Costed build quote
Track 02capped project or embedded team

Build & Deploy

Build the defined system end-to-end inside your environment, without replacing the systems that already run the business.

Production integration
Real-user testing
Model and data governance
Full IP transfer
systems online · governed · observable

Operational AI stack

01data sources
02unified layer
03agent runtime
04product UI

// build surface

The systems we put into production.

A compact delivery surface for teams that need useful AI, connected data, and durable software rather than another experimental notebook.

Custom AI platforms

Generative AI products, agents, and decision-support systems on production infrastructure.

Data integration

ERP, CRM, sensor data, legacy databases, quality, lineage, and governance in one queryable layer.

Engineered software

Web apps, mobile apps, APIs, backend systems, and internal platforms built to enterprise standards.

Voice AI

Low-latency multilingual voice systems with transparent grounding and clear escalation paths.

Modernisation

Replace fragile systems incrementally, without a theatrical big-bang migration.

Team augmentation

Senior engineers embedded for fixed-term delivery when hiring speed is losing to physics.

// proof

Production evidence beats AI theatre.

Fairplay’s AI work runs in regulated, operational environments. The useful part, naturally, is that it keeps running after the demo ends.

Talk to us about an AI audit
24
autonomous agents in production
60%
faster root-cause analysis
8 sec
query response from hours of analysis
reference signals
POWER AIVolkswagen GroupRegulated data platforms

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