Step 01 · Listen
We talk to the people who do the work.
Interviews across teams: what they're trying to achieve, where the time leaks, what they're worried about.
How your team feels
“Heard, not audited.”
AI transformation · People first
AI your team will
actually use.
AI rarely stalls on technology. It stalls on people and process. We start by understanding your team and what you're trying to achieve. Then we bring in AI that takes the busywork, not the jobs.
- People first, tools second
- Human-in-the-loop by default
- Montréal · English or French
Leadership
Sales
Customer care
Operations
Finance
HR
We start by listening to the people doing the work.
Trusted by
- +And more, kept confidential
What we believe
AI rarely fails on technology. It fails when the people doing the work aren't asked. So we start with your team. Then AI.
How we work
Change is a people project. AI comes fourth.
Step 01 · Listen
We talk to the people who do the work.
Interviews across teams: what they're trying to achieve, where the time leaks, what they're worried about.
How your team feels
“Heard, not audited.”
Step 02 · Map
We map how work really flows.
The real process, workarounds included. We separate repetitive tasks from the ones that need judgment.
How your team feels
“Finally, someone sees the workaround.”
Step 03 · Align
We agree on what success looks like.
Clear goals, what changes for whom, and an honest answer to the big question: AI takes tasks, not jobs.
How your team feels
“I know what's in it for me.”
Step 04 · Build small
We build one thing, fast, with the team.
A working prototype in days, on your own documents. The people who'll use it shape it. A human approves what matters.
How your team feels
“I helped build this.”
Step 05 · Adopt & grow
We train, measure, and scale what works.
Hands-on training, internal champions, and a clear view of the time recovered. Then the next step.
How your team feels
“I'm better at my job.”
Not about replacing people
AI takes the busywork. Your people keep the job.
Every role mixes work that needs a human with tasks that just eat the day. We move the second kind to AI, so your team has more time for the first.
An office manager's week
- Copying form entries into the CRM
- Welcoming clients
- Chasing signatures by email
- Solving the problem nobody else can
- Building the weekly report
- Keeping the team running smoothly
Handed to AI · you approve
- Repetitive tasks land here
Where do you start?
Pick the sentence that sounds like you.
Start here
AI Readiness Diagnostic
We interview your team, map how work actually flows, and hand you a short list of the highest-impact places to start.
- Where automation pays off first
- Bottlenecks in your current processes
- An executive roadmap you can act on
Proof, not slides
A call on day one. A working demo on day two. A signed client.
This is how SageKraft landed its first client.
- 1
Day 1
The call
A discovery call with a tax-litigation consultancy. I took notes, like always.
- 2
Day 1
The plan
My system turned the notes into a build plan. I reviewed it and corrected it.
- 3
Day 2
The demo
It built a working prototype from that plan. I showed it the next day.
- 4
After
The client
They signed for a five-figure production system, and they still use it.
Since then, every serious prospect gets a working demo on their own kind of document, usually ready in about a day.
In production
Tax-litigation consultancy
Case law research with citations you can trust
A private AI system over case law and tax policy. Every reference it returns is verified to exist, down to the paragraph.
Prototype
Multi-location hospitality group
Staff onboarding in the owner's own voice
A light training hub, a chatbot for “how do we do X here?”, and an audio guide in the owner's cloned voice.
Delivered
SaaS founder, mid-financing
A private expert on venture financing
Ask in French about term sheets or vesting and get answers with page-level citations. Built and deployed in days.
Client names kept private. Industries and builds are real.
Built with the tools
we trust
Copilot Studio
Claude
NotebookLM
VapiCopilot StudioClaudeNotebookLMVapiCopilot StudioClaudeNotebookLMVapi
Nearly 1,000 members
Data Drinks Montréal, founder
Who you'll work with
“Companies rarely fail because they picked the wrong model. They fail because their processes, data and context aren't ready.”
Abdoul Gaye spent nearly a decade building BI, analytics and reporting systems across e-commerce, retail, finance, healthcare, hospitality and more. You work directly with the person who builds your system, backed by a network of senior AI specialists when the project needs them.
Abdoul Gaye
Founder, SageKraft · Montréal
Start with a conversation, not a tool.
Tell us what your team is trying to achieve and where the time goes. We'll tell you honestly whether AI is the answer, and where to start if it is.
Montréal · English or French · We reply within 24 hours
Let's Talk
Ready to start your AI transformation? Get in touch and let's explore what's possible.
contact@sagekraftai.com
Montreal, Canada
We typically respond within 24 hours
Led from Montréal, backed by a network of senior AI specialists.