Make processes consistent.Reduce exceptions.Move faster.

I start with a short discovery call, then deliver a written plan: target workflows, success criteria, data sources, integration points, security requirements, and a phased delivery roadmap.

Most documentation assistants start with retrieval (RAG) so answers are grounded in your current source material and can be updated quickly. If your use case requires a specific tone, format, or repeated task patterns, fine-tuning can be added after evaluation.

I define a test set of real questions from your team, measure answer quality against your source-of-truth, and iterate. The system is designed to cite sources when possible and to say it doesn't know when the documentation doesn't support a confident answer.

You can choose a full handoff with documentation and training, or ongoing support for monitoring, updates, and incremental improvements as your processes evolve.

Work is delivered in clearly defined stages with review checkpoints. If the solution isn't meeting the agreed success criteria, you can pause or stop after any milestone with no lock-in.

Generic tools don't know your internal policies, terminology, or systems. A business-ready solution is grounded in your approved sources, integrated into your workflows, and instrumented with logging, evaluation, and guardrails— so outputs are more consistent and operationally usable.

Most text-based content works: handbooks, SOPs, product manuals, policies, FAQs, training materials, and knowledge base articles. PDFs, Word docs, wikis, and structured databases can all be processed. Image-heavy documentation is not recommended.

Common integrations include help desk platforms (Zendesk, Intercom), chat tools (Slack, Teams), document stores (SharePoint, Confluence, Google Drive), and CRMs. Integration scope is defined during discovery based on your existing stack.

Access is least-privilege and role-based where possible, and the system can log activity for review (what was asked, what sources were used, and what was returned). Security requirements are defined during scoping and reflected in the deployment plan.

Not unless you choose that option. I can deploy open-source models on your infrastructure so documents stay under your control. If you opt to use a third-party API, providers like OpenAI and Azure state that business/API data is not used for training by default—data handling terms are documented and agreed to before any access.

Minor updates are usually handled by reindexing or scheduled sync. Significant policy or process changes may require prompt/rule updates or a new evaluation pass. I can provide ongoing updates/maintenance if needed.

For day-to-day use, no. For changes and ongoing administration, you can either retain me for support or I can train your technical staff on the maintenance runbook.

You own your documents and the solution artifacts delivered for your environment. If we use third-party services or base models, their licenses and terms are documented clearly so ownership and reuse rights are unambiguous.