Services/Generative AI
Conversational AI
Assistants that hold context, answer from your knowledge, and hand off to a person at the right moment.
- 6 to 12 weeks
- Fixed price
- Conversation designer plus AI and integration engineers
- Support, sales, and internal knowledge teams with a high volume of repeat questions
What we do
Customer support, sales, and internal help assistants built on current language models, grounded in your content, and deployed on the channels your customers already use. Every assistant ships with handoff logic, analytics, and a defined voice.
What the work includes
Grounded answers
Responses drawn from your documentation and systems, with citations, rather than from the model's general knowledge.
Context across the conversation
State that persists across turns and sessions, so customers do not repeat themselves and the assistant can complete multi-step requests.
Handoff by design
Clear rules for when a person takes over, with the full conversation and extracted details passed along.
Every channel, one state
Web, mobile, WhatsApp, Slack, Microsoft Teams, and SMS, with a single conversation record behind them.
Case study
WhatsApp ride support with memory and context
An AI assistant that handles customer ride questions on WhatsApp, cutting average response time from 20 minutes to one.
Read the case studyHow an engagement runs
Scope, build, evaluate, operate.
The same four stages on every engagement, each with a defined output.
Scope
A short discovery with the people who own the problem. Output: a written scope, acceptance criteria, and a fixed estimate.
Build
A named lead and a team sized to the scope. Working software from the first weeks, demonstrated on a fixed cadence.
Evaluate
Every AI component is measured against real cases before rollout. The numbers decide when it goes live.
Operate
Deployment, monitoring, and a support window. Then a handover, or an ongoing team if you want one.
Typical stack
Tools we commonly use for this work. The final choice follows your requirements, region, and existing platform.
- Python
- OpenAI
- Anthropic
- LangChain
- Twilio
- Slack
Related use cases
Related services.
Agentic AI
Systems that take an objective, plan the steps, use tools, and complete multi-step work with minimal supervision.
Enterprise RAG
Retrieval-augmented systems that answer questions from your documents and data, with citations and access control.
AI-Powered Search
Search that understands intent, not only keywords, across large content libraries and product catalogues.
Support and sales
Assistants that know when to stop
A good assistant resolves the routine and recognises the exception. We build both halves.