Kenius is an AI consultancy for growing businesses. We learn how you work, pinpoint where AI will genuinely pay off, then design and build the custom solution — wired into the tools you already use.
Teams we've advised & built for
For the first time, AI can read, write, listen, talk and click through software well enough to take that work on. The question is which parts — and how to do it without breaking things.
The hard part isn't the AI. It's knowing what's worth automating, and building it so it actually holds up in the real world. That's the part we're good at.
We don't sell software off the shelf. We start by understanding your business, then design and build exactly what fits — and only if it's worth it.
We start here. We assess how you work, map where AI will actually pay off, sanity-check feasibility, and hand you a clear, costed plan — even when the honest answer is "not yet."
Deliverable: a short assessment that tells you what to build first, what it'll cost, and what it'll save.
Bespoke agents built around your actual workflow — they plan, act across your tools, and bring a human in when something needs judgement. Not a template; built for you.
Example: onboard a new client end-to-end — account, welcome pack, kickoff booked.
Chat and phone assistants trained on your docs and policies — speech-to-text and text-to-speech — that resolve the routine and pass the rest to your team.
Example: answer the phone and book appointments, 24/7.
We read your invoices, forms and emails, pull out what matters, update your systems and flag the exceptions — so the data entry just happens.
Example: turn a PDF inbox into clean rows in your CRM.
An assistant grounded in your company's knowledge — playbooks, history, policies — living in the tools your team already uses.
Example: draft the quote in your style, in seconds.
The unglamorous part that makes everything work: connecting your systems safely and getting your data into shape so AI can actually act on it.
Example: from Gmail to your CRM with no copy-paste.
Every engagement is different, but our work tends to take a few familiar shapes. Whatever we build is shaped to your tools, your rules and your data — and supervised by your team.
Answers routine questions on your docs and policies, looks things up, and hands the tricky ones to your team with full context.
Picks up and places calls, books and confirms appointments, and texts a follow-up — in a natural voice you approve.
Reads documents, enters the data, reconciles the numbers and flags anything that doesn't add up for a human to check.
Qualifies new leads, drafts personalised follow-ups, and keeps your pipeline tidy so nothing slips through the cracks.
A person on your team approves the actions that matter. Nothing risky happens on its own.
Every message, lookup and change is logged — so you can always see exactly what happened.
We build it to be handed over. Your data stays yours, and there's no lock-in.
Three examples of solutions we've built. Yours would be tailored to your business.
We learn how you work, map the busywork, and recommend the one place to start with the best payoff — honestly.
A working version on your real data that you can actually try — not a slide deck — so we de-risk before committing.
We build the real thing, wire it into your tools, test the edge cases, and add guardrails and a human-approval step.
We watch it in the wild, measure the time saved, tune it, and hand over the keys. Fixed scope — no surprise bills.
A dental group was losing evening bookings to voicemail. We scoped the problem, then built a voice assistant that answers, books and confirms — and hands urgent calls to staff.
A growing homeware brand was drowning in "where's my order?" emails. We built a support assistant that handles the routine and routes the rest with full context.
A regional freight company spent days a week typing invoices. We built an automation that reads, matches and posts them — flagging only the odd ones for a person.
We're not an enterprise-only shop. If your team does a lot of the same thing every day, there's probably something here worth a conversation.
Plenty of companies will sell you a tool and wish you luck. We figure out what you actually need, build it properly, prove it saves you time, and hand it over.
How we think about this workThey started by telling us what not to automate. That honesty is why we trusted them with the rest — and the booking line they built paid for itself in a quarter.
No big platform to buy, no lock-in. They scoped one use case, built it in a month, and handed it over clean. Exactly what a small team needs.
What sold me was the audit log. I can see every single thing it did, and override it. They thought about the boring, important stuff nobody else mentioned.
We're a consultancy. We don't resell a one-size-fits-all tool. We assess what your business actually needs, then design and build (or assemble) the right solution around your tools and data — and hand it over so you own it.
That's the most common starting point — and exactly what the assessment is for. In a week or two we map your workflows, find the highest-value opportunity, and give you a costed plan. No commitment to build anything afterwards.
No. Most of our clients don't have an engineering team. We handle the building, the connecting and the maintenance. You bring the knowledge of how your business actually runs — that's the valuable part.
Your data stays yours. We don't sell it and we don't use it to train public models. Access is scoped to exactly what a solution needs, everything is logged, and you can revoke it at any time.
Usually a week or two for the assessment, about three weeks to a working prototype on your real data, and four to eight weeks to something live and integrated — depending on how many tools it needs to touch.
The assessment and pilots are fixed-fee, so you know the number up front. We scope to a single high-value use case first, prove the savings, then expand. Tell us about your workflow and we'll give you a real estimate.
Book a 30-minute discovery call. We'll look at your business together and tell you — honestly — whether AI is worth it, and where to start.