Answers grounded in your data
Responses come from your approved sources, with citations your users can check.
AI Assistants & Chatbots
Assistants that know your business.
Customer-facing and internal assistants grounded in your documents, policies and data using retrieval-augmented generation (RAG) — accurate, cited answers instead of guesswork.
AI Assistants & Chatbots
We don't stop at a demo. Every AI Assistants & Chatbots engagement ships to production with evaluations, monitoring and documentation — measured against the outcomes that matter to your business.
Outcomes
What this means for your business
Available everywhere
Deploy on your website, in your app, or inside Slack, Microsoft Teams and WhatsApp.
Measurable quality
Evaluation suites and analytics show accuracy, resolution rate and where content needs work.
What's included
Typical deliverables — tailored to your scope in our proposal.
- Knowledge ingestion pipeline
- Retrieval and ranking (RAG)
- Chat interface or channel integration
- Hand-off to human agents
- Evaluation and analytics
- Content update workflow
Example use cases
Common projects our clients start with.
Website support assistantInternal knowledge base searchHR and policy assistantSales enablement assistantProduct documentation Q&AMultilingual customer support
Typical technology
Chosen per project based on your requirements.
OpenAIAnthropic ClaudepgvectorPineconeNext.jsPython
How we deliver
From kickoff to launch
Discover
1–2 weeksWe map your goals, users, data and constraints, then define the highest-value use case and how success will be measured.
Prototype
1–3 weeksA working prototype tests the riskiest assumptions with real data — so you see results before committing to a full build.
Build
4–10 weeksWe engineer the production solution in short sprints with weekly demos, evaluations and full transparency on progress.
Launch & scale
OngoingWe deploy, monitor quality and cost, and keep improving — or hand over to your team with documentation and training.
How long does it take to build an AI MVP?
Most MVPs take six to twelve weeks, depending on scope, integrations and data readiness. We agree milestones up front so timelines stay predictable.
Who owns the code and IP?
You do. All code, prompts, models, documentation and intellectual property created for your project are transferred to you.
How do you handle data privacy and security?
We follow least-privilege access, keep your data in your environment wherever possible, sign NDAs and DPAs on request, and use model providers configured not to train on your data.
How is pricing structured?
Discovery Sprints and MVP builds are fixed-price against an agreed scope. Dedicated teams are billed monthly. You'll receive a detailed proposal after our first call.
Related services
Often combined with
Let's talk about your AI Assistants & Chatbots project.
Tell us what you're working on. We'll reply within one business day with honest advice on the fastest path to results.