Artificial intelligence is only worth adopting when it removes real work from your day. We build custom AI chatbots trained on your own content, connect ChatGPT and Claude to the tools you already use, automate the tasks that eat your team's hours, and make sure AI search engines can find and recommend your business.
Most businesses do not need an AI strategy. They need one specific, expensive, repetitive process handled automatically and reliably. That is where we start. We look at where your team actually loses hours — answering the same forty customer questions, retyping order details between systems, writing the same category of email, qualifying leads that were never going to buy — and we build a system that takes that work off their plate.
Every project begins with a discovery call where we identify the process, quantify what it currently costs in time and money, and agree what success looks like in numbers. If AI is not the right answer for your situation, we will tell you that instead of selling you something. When it is the right answer, you get a fixed-price build, a working prototype early, and a system your team can actually operate without a data scientist on staff.
Six categories of work cover the overwhelming majority of what businesses need from AI today.
An assistant on your website that answers from your documentation, pricing, policies and product data rather than making things up. It handles support questions around the clock, captures leads, escalates to a human when it should, and learns from every conversation you review. Built with retrieval-augmented generation so answers stay grounded in facts you approved.
We embed large language models directly into your existing application, website or internal tools. Summarise long documents, generate product descriptions at scale, classify and route incoming messages, extract structured data from invoices and contracts, or translate content into a dozen languages, all inside the software your team already uses.
Connect the systems that currently require a person to copy between them. An email arrives, AI reads it, extracts the details, creates the CRM record, drafts the reply, and notifies the right person in Slack. We build these pipelines with Make, n8n, Zapier or custom code depending on complexity and cost.
Systems that carry out multi-step tasks with tool access rather than just answering questions. Research a prospect list and enrich it, monitor competitor pricing and flag changes, reconcile transactions across platforms, or manage an inbound sales conversation from first message through to a booked meeting.
A growing share of buyers now ask ChatGPT, Perplexity, Claude or Google AI Overviews for recommendations instead of scrolling through search results. We structure your content, schema markup and llms.txt so those systems can read, trust and cite your business when someone asks for a provider in your category.
Natural language access to your own numbers. Ask plain questions of your sales, traffic and operations data and get answers, charts and written summaries. We connect the models to your databases and dashboards with read-only access and sensible guardrails.
A staged process that gets something working in front of you quickly and avoids the open-ended AI projects that never ship.
A free call to walk through your processes, identify where AI has genuine leverage, and estimate the hours and cost currently going into each candidate task. You leave with a written recommendation whether or not you hire us.
We specify the model, architecture, integrations, guardrails and expected running cost, then quote a fixed price. You know exactly what is being built and what it will cost to operate before committing.
You get a working version early, tested against real examples from your business, so you can judge the quality of the output before the full build is complete and redirect us if it is not right.
Rate limits, cost caps, refusal rules, human escalation paths, audit logging and least-privilege access to every connected system. We test the failure modes before your customers find them.
We deploy, train your team to operate and update the system, and hand over clear documentation. You own the code and the accounts, not us.
Optional ongoing support where we review real conversations and outputs, tune prompts and retrieval, control model spend, and migrate you to better or cheaper models as they are released.
Across the projects we deliver, a handful of applications consistently pay back quickest:
We write the integration code ourselves. You are not buying a white-labelled chatbot widget with our logo on it.
Scope and cost agreed in writing before we start, including the expected monthly running cost of the models.
Your accounts, your API keys, your codebase. No lock-in and no hostage situation if you move on.
OpenAI GPT · Anthropic Claude · Google Gemini · Llama · LangChain · Pinecone · pgvector · Supabase · Whisper · n8n · Make · Zapier · Python · Node.js · PHP · Laravel · React · Twilio · HubSpot · Shopify · WordPress · Stripe
Discuss Your ProjectStraight answers about cost, timelines, accuracy and data security.
It means connecting proven AI models to the systems you already run so that specific, repetitive work gets done automatically. In practice that is usually a chatbot that answers customer questions from your own documentation, an assistant that qualifies leads and books them into your calendar, automated drafting of quotes or product descriptions, or a pipeline that reads incoming emails and files them into your CRM. It is not a research project. Every engagement we take on targets a defined task with a measurable time or cost saving.
A focused website chatbot trained on your content typically runs 1,500 to 4,000 dollars to build, with ongoing model usage costs that are usually under 50 dollars a month for a small business. Workflow automation projects start around 2,500 dollars. Multi-step AI agents connected to several systems generally fall between 6,000 and 20,000 dollars depending on scope. We scope and quote a fixed price after a free discovery call.
We build on OpenAI GPT models, Anthropic Claude, Google Gemini and open-weight models such as Llama where data residency or cost demands it. For orchestration and retrieval we use vector databases like Pinecone and pgvector, and automation platforms including Make, n8n and Zapier when they are the right tool. We select based on your accuracy, cost and privacy requirements rather than defaulting to one vendor.
That is the risk we design against. We use retrieval-augmented generation, which means the assistant answers only from your approved content rather than from general model knowledge, and we constrain it with explicit guardrails, refusal rules and escalation paths to a human. Before launch we run the assistant against a test set of real customer questions and tune it until the answers are reliable, then keep monitoring conversations after go-live.
Yes. Most of our work is integration rather than greenfield building. We connect to WordPress, Shopify, Laravel and custom PHP sites, and to CRMs and tools including HubSpot, Salesforce, Zoho, Airtable, Notion, Slack, Google Workspace and Stripe. If a system has an API, we can wire AI into it, and where there is no API we can often work through secure automation or scraping layers.
A website chatbot trained on your content is normally live in two to three weeks. Workflow automations take three to five weeks. Larger multi-system AI agents take six to twelve weeks. We work in stages so you see a functioning prototype early rather than waiting until the end to find out whether it does what you needed.
We architect for it. Your data stays in your own infrastructure or in an isolated tenant, we use enterprise API endpoints where inputs are not used to train the provider's models, we apply least-privilege access to every connected system, and we can deploy fully self-hosted open models where regulation or client contracts require that nothing leaves your environment.
Yes, and this is quickly becoming as important as ranking in Google. When people ask ChatGPT, Perplexity, Claude or Google's AI Overviews for a recommendation, the answer is assembled from sources those systems can read and trust. We structure your site with clean semantic markup, comprehensive schema, an llms.txt file and clear factual content so AI systems can extract and cite it accurately. This works alongside our conventional SEO services.
Book a free discovery call. We will map your processes, tell you honestly where AI has leverage and where it does not, and give you a written recommendation with costs — no obligation to hire us.