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BigTree108

AI development

AI development services: AI agents that act through your systems, AI integration of large language models into the software you run, AI chatbots, AI knowledge search and RAG over your documents, document processing, voice AI agents, Microsoft Copilot and Copilot Studio agents, AI coding assistants for your engineering team, MCP servers, private LLMs and fine-tuning, and AI consulting on where to start, with dedicated AI developers for your team or projects delivered end to end, and our own .NET, Python, front-end and QA engineers for the applications around the model.

AI development services we provide

Each page covers the work we take on, the ways to work with us and the questions clients ask first.

More AI and data work on the site

How an AI project runs

  1. Use case and data

    A process with a measurable cost, the data behind it and the people who own it, chosen with you and written down with the outcome that would count as success.

  2. Evaluation set first

    Real questions, documents or cases with the answers your experts expect, agreed before any build, so every later change is scored against the same bar.

  3. Proof of concept

    The core of the solution built on your own data in a few weeks and measured against the evaluation set, with the cost per request known.

  4. Build and integrate

    The production version built into your systems with sign-in, permissions, logging and error handling, reviewed and tested like any other code.

  5. Pilot

    A small group of real users, their feedback captured, failures added to the evaluation set and the hand-off to people tuned.

  6. Launch and monitoring

    Rolled out in steps behind a feature flag, with quality, cost, latency and user feedback on a dashboard and alerts when any of them moves.

  7. Improve

    New failure cases, newer models and cheaper ways to run the same task tested against the evaluation set, so the system gets better and cheaper over time.

How we build AI systems

Evaluation comes before features. We agree a set of real questions and expected answers with you, score every change to a prompt, model or retrieval setting against it in the pipeline, and log the cost and latency of each request, so quality and spend are measured rather than judged from a demo.

Model output and retrieved text are treated as untrusted input. Agents get the narrowest credentials that do the job, actions that change data or spend money wait for a person’s approval, keys come from a vault, and every action is logged so it can be traced afterwards.

Data stays under your control: models are called through business APIs whose terms exclude training on your inputs, or run in your own cloud, and personal data reaches a model only when the task needs it.

Questions about AI development

Which AI development services do you provide?

AI agents and multi-agent workflows; AI integration of language models into existing applications, SaaS products and MVPs; AI chatbots on the web, in apps and in messengers; AI knowledge search and RAG over your documents; document processing and data extraction; voice AI agents for phones and apps; Microsoft Copilot and Copilot Studio agents; AI coding assistant rollouts for engineering teams; MCP servers, ChatGPT apps and Claude connectors; private LLM deployment and fine-tuning; and AI consulting, from use-case assessment to proofs of concept. Workflow automation, machine learning, computer vision, MLOps and data annotation have pages of their own.

Which industries do you build AI for?

AI products themselves, from copilots to agent platforms; fintech, for customer support, KYC document checks and compliance search; e-commerce and retail, for shopping assistants, product search and catalogue content; healthcare, for clinical documentation and patient communication; professional services, for document review and research; and enterprise SaaS, for assistants, agents and search inside the product.

Will our data be used to train someone else’s model?

No. We use business APIs whose terms exclude training on your inputs, from OpenAI, Anthropic or Google directly or through Azure and Amazon Bedrock, or open-weight models hosted in your own cloud when the data must not leave it.

Which model do you use?

The least expensive one that passes your evaluation set, from OpenAI, Anthropic, Google or Mistral, or an open-weight model you host. The provider sits behind one interface in the code, so moving to a newer or cheaper model is a configuration change and a re-run of the evaluation, not a rewrite.

How do you stop it from making things up?

By grounding answers in retrieved sources and showing the citations, instructing the model to say when the sources do not answer the question, and keeping unanswerable questions in the evaluation set. That reduces invented answers and measures what is left; no current model removes them entirely.

Will it work with the systems we already run?

That is where most of the work is. We connect AI to Microsoft 365, Azure, AWS and Google Cloud, to .NET, Java, Python and Node.js applications, and to CRM, ERP and help-desk systems through their APIs, and our own engineers in those stacks build the integrations.

Who keeps it running after launch?

The same people who built it, if you want them to: quality, cost and latency stay on a dashboard, new failure cases join the evaluation set, and newer or cheaper models are tested before they replace the current one. Or we hand over to your team with the evaluation set, runbooks and dashboards.

Who owns the prompts, code and models you build?

You do. Every specialist has a signed contract with BigTree108 that assigns all work product to the company, and our agreement with you assigns it onward. Code, designs and documents are delivered into your own repositories and tools, not kept where only we can change them.

Planning an AI feature, agent or assistant?

Tell us what it should answer or do and where the data lives. You get an answer within one business day: a plan, candidate profiles, or a recommendation on the model and the architecture.

Email hello@bigtree108.com How we respond