Data, Knowledge & Intelligence

Put your company's knowledge to work

Your policies, procedures, contracts and data already hold the answers your team spends hours looking for. We build secure assistants that answer from your own content with sources, and analytics that forecast what's coming instead of only reporting what happened.

What we offer

Data, Knowledge & Intelligence services

RAG chatbots

Retrieval-augmented Q&A that answers from your documents and cites its sources.

Internal company ChatGPT

A secure, private assistant for your team, trained on your knowledge, not the open internet (Wynstra Copilot).

Knowledge management

Searchable, AI-indexed knowledge bases built from scattered files and wikis.

Business intelligence & dashboards

Dashboards that pull from all your systems into one view.

Predictive analytics

Demand, churn, risk and fraud forecasts (Wynstra Insight).

Generative AI applications

Custom applications built on large language models for your specific workflows.

Why it matters

What you get

  • Answers in seconds, with sources
  • Knowledge that doesn't leave with people
  • Forecasts, not just reports
  • Private and permission-aware
Technology

Tools we use

We choose proven, well-supported technology so your solution is easy to maintain and to hand over.

  • Azure OpenAI
  • Claude
  • Vector search
  • Power BI
  • Python
  • SQL Server
How we work

From brief to launch

  1. AI Readiness AuditA free, focused review of where AI and automation save the most time and money.
  2. RoadmapPrioritise the opportunities and agree how each one will be measured.
  3. PilotOne agent or workflow solving one measurable problem in 4–6 weeks.
  4. ProveMeasure hours saved, errors cut and revenue unlocked against your baseline.
  5. ExpandAdd adjacent tools from the catalogue, building on the integration already done.
  6. OperateManaged monitoring, tuning and improvements under a retainer.
FAQ

Data, Knowledge & Intelligence questions

Is our data safe in a private ChatGPT?

Yes. Wynstra Copilot runs in your own cloud tenancy or a private deployment, respects existing access permissions and doesn't train public models on your data.

What data do you need for predictive analytics?

Usually one to two years of history from your existing systems. We assess data quality during the audit and tell you honestly if a forecast isn't feasible yet.

Let's talk about your data, knowledge & intelligence project

Tell us what you need. We'll reply within one business day with ideas, a rough timeline and an estimate. No obligation.