Repeated support emails
01We answer the same five customer questions every week. And it always lands on the same person.
A shared answer library your team and the assistant both draw from.
~2 weeks to first fix
Artellis helps SMEs and consulting partners turn repetitive emails, scattered knowledge, manual admin and missed follow-ups into practical AI tools, built around the way your team already works.
Hi Sarah — pricing and a 6-week timeline attached, plus the security section James asked for. Shall I hold Thursday 11:00 for a walkthrough?
The painWarm leads go cold while quotes sit half-written in your drafts.
Artellis buildsQuote & follow-up drafter — it reads the thread and your pricing and SOW files, then drafts the quote and the follow-up email with the client's own questions answered.
Want the detail first? How artificial intelligence consulting works here, or a worked example: invoice processing automation.
Most teams don't fail on the technology. They struggle because the workflow itself is unclear.
We answer the same five customer questions every week. And it always lands on the same person.
A shared answer library your team and the assistant both draw from.
~2 weeks to first fix
Two good leads went cold last month because nobody chased on day three.
An assistant that watches your pipeline and nudges the right person on day three.
~2 weeks to first fix
The person who wrote the SOP left. Now three of us are guessing.
Your documents made searchable and answerable in plain English.
~2–3 weeks to first fix
The chatbot demo wowed the team in March. Nobody has opened it since.
Built into the flow of work, with an owner, a metric and a review date.
Starts at ~1 week (audit + one fix)
See yours on the list? The next step is a 20-minute call. No slides, no pitch.
“Combining clinical expertise with large language models to support evidence informed strategy development.”
Work delivered across energy, enterprise software and public health.
Start where you are: one demo, one working system, or extra AI delivery capacity behind your own team.Tap any card to see how it works
Need your team ready rather than a system built? That's Training →
Your first 6 weeks with Artellis
You don't need another AI strategy deck. You need one workflow working better by next month. Here's how that actually happens.
A 30-minute call. You describe one workflow that's costing you time or money. I tell you honestly whether AI is the right lever. Often it isn't.
A written back-brief with the pain, the shape of a fix, and whether it's worth continuing.
We spend two focused sessions turning "we should use AI" into "here's exactly what we're building, for who, using what data."
A one-page build spec, a fixed price, and a go / no-go decision.
I build the working version. Not a demo, not a prototype. Your data. Your systems. Human review baked in. You see progress every week.
A working AI tool your team is already using on live work.
Your team runs it. I stay available for tuning, edge cases and the next workflow. You're not locked in. Documentation, governance and a hand-off plan are the deliverable.
Ownership. Not a dependency.
Start with Week 0. It's a conversation, not a commitment.
Not ready to talk yet
One Workflow is a short letter written for your company, not for a mailing list: the opportunity, the hours it could give back, how involved it would be, and a first step you can run yourself. Founding cohort, limited to 100 companies while I review every week personally.
One Workflow
I look at what your company actually does and write you a short letter: the opportunity, the likely hours it gives back, how involved it is, where the human review sits, and a first step you could run yourself this week. Founding cohort, limited to 100 companies while I personally review every week's recommendations. Reply to any letter and you reach me, not a form.
Everything in the letter is decision support: review, test and approve before anything runs in your business. Your email is used for One Workflow only.
The six things that come up on nearly every first call, answered plainly.
We'll help you decide whether AI can realistically help, what the first working version looks like, and what it takes to build responsibly.