AI Development
LLM copilots, RAG assistants, agents, and document intelligence built on your own data.
What AI Development means at XentraSol
We build AI products that survive contact with production. That means grounded retrieval over your own data, evaluation harnesses that catch regressions, cost controls, and human-in-the-loop steps wherever a wrong answer would be expensive.
Most engagements start narrow: one workflow, one dataset, measurable before-and-after numbers. Once value is proven we widen the surface area — more sources, more automation, more autonomy — without rewriting the foundation.
Typical engagement
- Discovery
- 1–2 weeks
- First release
- 4–8 weeks
- Team
- Senior specialists only
- Ownership
- 100% yours
Why teams invest in this
Hours back per employee
Research, classification, and drafting work that took hours is reduced to minutes with an auditable trail.
Answers grounded in your data
Retrieval-augmented architecture means responses cite your documents instead of hallucinating.
Measurable ROI
We instrument accuracy, handling time, and deflection rate from day one so value is provable.
Enterprise-safe by default
Access control, PII handling, prompt-injection defences, and full logging on every call.
What's included
The stack we build on
Models
Frameworks
Data
Platform
How we deliver
Discovery
We map the current state, constraints, and success metrics with your stakeholders before a line of code is written.
Planning
Scope, architecture, delivery plan, and dates are agreed in writing so everyone knows what ships when.
Design
Flows, wireframes, and UI are validated with real users and signed off before build.
Development
Weekly increments with a live demo at the end of each one, code review, and automated tests throughout.
Testing
Functional, regression, performance, and security testing on every release candidate.
Deployment
Automated CI/CD releases, monitoring, and a controlled go-live with rollback ready.
Support
Warranty period after launch, then an optional retainer for monitoring, patching, and improvements.
Sectors we deliver this for
Related work
Related case studies
Hive Tax AI
An AI tax assistant that cut research time for accounting teams
- Less time spent on routine research
- 70%Less time spent on routine research
- More client queries handled per day
- 3xMore client queries handled per day
- AI answers returned with source citations
- 100%AI answers returned with source citations
Questions about AI Development
No. We use enterprise API tiers with training disabled, or self-hosted models where data residency requires it.
Ready to start your ai development project?
Book a free consultation and we'll give you a straight answer on scope, timeline, and cost.