AI Customer Support
Answer customer questions using your business knowledge.
Grounded in your own pages and documents, answering only from what it retrieved, and handing over to a person when it is not confident.
Deflects repeat questions
4 use cases
AI isn't the product. The outcome is.
We build practical AI systems that help businesses automate work, serve customers faster, and make better use of their data. Where a plain database query is better, we will tell you that instead.
What we actually build.
AI Internal Assistant
Help employees search documents, policies and internal knowledge.
One place to ask where the policy is, what the process was, and which version is current — with permissions respected per role.
Cuts internal search time
AI Document Processing
Extract, classify and analyze information from documents.
Invoices, forms, contracts and reports turned into structured data, with low-confidence extractions routed to a human for review.
Removes manual data entry
AI Automation
Connect AI with existing business workflows and tools.
Classification, drafting and routing wired into the CRM, inbox and internal tools your team already uses.
Runs inside existing tools
How we build it
Four rules we do not bend.
AI is only worth adding where it removes work or answers a question faster than a person can. We build retrieval systems grounded in your own content, assistants that cite what they used, and document pipelines that hand off to a human when confidence is low. Every one ships with an evaluation set, so quality is measured rather than assumed.
Capabilities
- AI chatbots
- RAG systems
- AI assistants
- Document intelligence
- AI-powered search
- Generative AI
- Grounded, not improvised
- Answers come from retrieved passages of your own content, and the system says which ones it used. A model asked something outside that context should decline, not improvise.
- Measured, not assumed
- Every build ships with an evaluation set of real questions and known-correct answers, run on each change. Without it, 'the AI got worse' is an argument rather than a fact.
- Escalating, not stubborn
- Below a confidence threshold the system hands over to a person, carrying the conversation with it. Silence is cheaper than a confident wrong answer.
- Costed, not open-ended
- Token usage, latency and spend are monitored from day one, with caps. AI features that quietly become the largest line on the invoice are a design failure.
Our own product
We run this in production ourselves.
OneScript is our AI customer support platform. It is the same architecture we build for clients — retrieval over a business's own content, citations on every answer, and a handoff the moment confidence drops.
Built and operated by OneScript Studio
Questions
Answers before you ask.
Something not covered here? Ask directly — we answer scoping questions before there is any commitment.
Business websites and web applications, custom internal software such as CRMs and admin systems, AI features including support assistants and document processing, workflow automation, and full SaaS products. If the work is building or improving software, it is in scope. If it is running ad campaigns or producing brand films, it is not.
Related: AI services · AI stack · RAG vs fine-tuning
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