AI Integration
Not a pilot, not a demo. We put AI inside a job your team already does every week, and we scope it so the hours it saves are countable.
One of the areas we are asked for most — not the limit of what we take on.
Everything else we handleThe work
Start where the hours are going.
Every business has two or three tasks that quietly consume a day a week: answering the same customer questions, retyping information from PDFs into a system, writing up notes, chasing quotes. Those are where AI pays for itself quickly, because the work is repetitive but the input is messy — exactly the gap where a language model beats a rigid script.
We start by watching how the task is done today, then propose the smallest change that removes the most tedium. Usually that means the AI drafts and a person approves. The result lands inside the tools you already use — your inbox, your CRM, your website — rather than in yet another dashboard nobody opens.
What we build most often
- Support assistants trained on your own documents, so answers come from your policies rather than the open internet.
- Document processing — invoices, applications, intake forms and contracts read and turned into structured data.
- Drafting tools for quotes, proposals, service reports and follow-up emails, in your house style.
- Internal search across the files, wikis and email threads where institutional knowledge is buried.
- Workflow automation connecting the systems between which people currently copy and paste.
Guardrails, because they matter
Anything customer-facing gets tested against real historical cases before it goes live, with a defined escalation path to a human. We log what the system did so a bad answer can be traced. And we are explicit about what data leaves your environment, which model handles it, and what the provider retains.
Included as standard
- Workflow audit and opportunity shortlist
- Model and vendor selection, with cost per month estimated up front
- Integration into your existing systems
- Evaluation against your real past cases
- Human-in-the-loop review and escalation design
- Team training and written runbook
- 30 days of tuning after go-live
When we will tell you no
If the task has fixed rules and clean data, ordinary automation is cheaper, faster and far easier to trust. If the answer must be right every single time with no review step, that is usually not a job for a language model yet. We would rather say that in the first call than in month three.
How it goes
Four to eight weeks, typically.
Audit
We sit with the people doing the work and map where the time actually goes. You get a shortlist ranked by hours saved against effort.
Prototype
One workflow, built end to end against your real data, so the decision to continue is based on something you can use rather than a slide.
Integrate
Into the systems your team already lives in, with permissions, logging and a review step wherever an error would reach a customer.
Measure
We compare against the baseline we took in week one. If it is not saving what we projected, we tune it or we tell you to switch it off.
Questions
What clients ask about AI.
Where does our data go?
Wherever you are comfortable with it going — and we tell you exactly where that is before we build. Most projects use a major provider under an enterprise agreement where your inputs are not used for training. For sensitive material we can keep processing inside your own cloud tenancy, or use a self-hosted model where the workload justifies the cost.
What does it cost to run every month?
Usage-based, and smaller than most people expect — many workflows run for tens of dollars a month rather than hundreds. We estimate the running cost during scoping and set spend alerts so a surprise bill is not possible.
What if it gives a wrong answer?
We design for that from the start rather than hoping it will not happen. Customer-facing systems get a confidence threshold and a hand-off to a person; internal tools draft and a human approves. Everything is logged so a bad output can be traced and corrected.
Do we need to replace our current software?
Almost never. The point is to sit AI alongside what you have — your CRM, your inbox, your file storage — not to start a migration project you did not ask for.
Free quote
Which task would you hand over first?
Tell us the one that eats the most time. We will come back within a business day on whether AI is the right answer for it — and what it would cost.