ThinkDebug
Practical deep dives on software architecture, AI systems, and scaling digital products - drawn from the work we ship.
Conversational assistants for support, sales and internal workflows, built on your own data.
We build assistants grounded in your own documentation, catalogue and ticket history, so answers are traceable to a source instead of invented. Deployed on your site, your app or the channels your customers already use.
We build assistants grounded in your own documentation, catalogue and ticket history, so answers are traceable to a source instead of invented. Deployed on your site, your app or the channels your customers already use.
Deflect repetitive tickets with answers drawn from your help centre and past resolutions, and hand off to a human with full context when it cannot help.
Qualify enquiries, answer product questions and book meetings straight into the calendar, with the transcript attached to the CRM record.
A search layer over policies, runbooks and wikis so staff stop asking the same question in Slack.
The same assistant across web, WhatsApp and in-app, sharing one knowledge base and one conversation history.
Your content chunked, embedded and indexed so responses cite a source and admit when they do not know.
Test sets, refusal rules and escalation paths, so behaviour is measured before launch and monitored after.
Not sure which approach fits? A 30-minute call usually settles it.
Talk to an engineerMost of our work comes from clients we already shipped for. These are the reasons they give.
Answers come from retrieval over your content, with a citation, rather than from the model recalling something plausible.
We build an evaluation set from your real questions and report accuracy against it, not a demo that works once.
A bot that cannot answer should pass a human the whole conversation, not restart it.
Deployed against your accounts with no training on your content unless you ask for it.
A scoped first version answering your top questions, then widened once it is earning its place.
Content drifts. We keep the index fresh and review failure logs with you.
The parts clients ask about after the demo: who owns the output, who has access to what, and what happens once ai chatbot development is delivered.
Send us the scope and we come back with an itemised estimate - no discovery fee, no obligation.
We have shipped ai chatbot development in these sectors before, so we already know where the regulatory, integration and scale problems tend to hide.
Tell us about your industryMulti-tenant platforms, billing and SSO integrations.
Storefronts and checkout tuned for conversion at scale.
Payments, KYC and ledgers built to withstand audit.
Patient portals and clinical tools built to compliance.
Learning platforms, assessments and cohort management.
Search, booking and inventory synced across channels.
See the full list and the work behind each one.
Explore all industriesChosen for fit and long-term maintainability, never for novelty.
The reasoning layer.
What grounds an answer in your content.
Where the assistant actually runs.
Transparent stages, with something you can look at from the second one onward.
What the bot may answer from, and what is out of bounds.
Chunking, embedding and indexing your sources.
Prompts, refusal rules and escalation paths.
Web, app or WhatsApp, wired to your CRM or helpdesk.
Scored against a test set built from your real questions.
Failure logs reviewed with you after launch.
Let's start with you.
Your information stays private. We reply within 24 hours.
Still have a question we have not answered?
Ask an engineer
Send us your help centre and a month of tickets, and we will tell you honestly how much a bot could absorb.
Reply within 24 hours. NDA on request. No obligation to proceed.
