AI Solutions
Generative AI
Turn language, documents and knowledge into working business capability.
The context
Most organisations have more written knowledge than they can use — contracts, tickets, policies, reports, email threads, product documentation. Generative AI makes that material usable inside day-to-day work. We build grounded, reviewable generative systems that draft, summarise, classify and answer against your own content, with the guardrails a business needs before it puts a model in front of customers or staff.
Where this usually starts
- Teams spend hours reading, rewriting and reformatting information that already exists.
- Off-the-shelf chat tools have no access to internal context, so answers cannot be trusted.
- Early experiments produce impressive demos that never reach production.
Capabilities
What we deliver
The specific capabilities we bring to this work, scoped to what your organisation actually needs.
Grounded generation
Responses anchored to your approved sources with citations, so reviewers can verify what the model used.
Document and content workflows
Drafting, summarisation, extraction, translation and classification embedded into the tools people already use.
Prompt and context engineering
Structured prompting, context assembly and evaluation harnesses that keep output quality measurable over time.
Model selection and routing
Matching each task to an appropriate model on cost, latency and accuracy, with fallback paths when a provider degrades.
Human review by design
Approval steps, confidence thresholds and audit trails so a person stays accountable for consequential output.
Evaluation and regression testing
Test sets and scoring that tell you whether a change improved the system or quietly broke it.
Outcomes
What changes
- Knowledge work that currently depends on manual reading and rewriting becomes assisted.
- A repeatable path from prototype to a supported production service.
- Clear visibility into how the system behaves, what it costs and where it needs a human.
Outcomes depend on scope, data readiness and the operating context of each engagement. We agree measurable success criteria with you before delivery begins.
Technologies
Platforms and technologies we work with
Listed as technologies EXSTRONIX works with. They are not statements of formal partnership or certification.
FAQ
Common questions
Usually not. Most business value comes from applying strong general models to your own context and workflow. We recommend fine-tuning or a dedicated model only when evaluation shows a general model cannot meet the requirement.
We ground responses in approved sources, surface citations, set confidence thresholds and route low-confidence cases to a person. We also build evaluation sets so accuracy is measured rather than assumed.
Ready to transform what’s next?
Tell us about the business challenge you are working on. We will bring the right mix of AI, engineering, finance and operations expertise to the conversation.