AI that takes over the work
your team stopped enjoying.
Quotes drafted. Invoices reconciled. Suppliers chased. Customers answered. Scaleo deploys AI inside the tools your team already uses, Odoo, Gmail, WhatsApp, Google Workspace, measured against the work it replaces. We run AI inside Scaleo before we ship it for clients.
- 0 weeks
- From discovery to first AI use case in production
- Inside
- Your existing tools, Odoo, Gmail, WhatsApp, your stack
- Evals
- Before any model touches users
Quick answers
- Where does the AI run?
- Inside Odoo, Gmail, WhatsApp, Google Workspace, not in a separate app.
- Which AI model do you use?
- Whichever beats the eval on your task at the lowest cost. Claude, Gemini, GPT, or open-source, model-agnostic by default.
- How long until first results?
- First AI use case live in production within 4 weeks.
- Does it work with my Odoo?
- Yes, AI Integration is the natural next step for businesses already on Odoo or starting Odoo with Scaleo.
Your team is doing
AI-able work by hand.
Are you struggling with these issues?
- 01
Operators stuck on repetitive tasks.
Quotes, invoices, supplier emails, customer follow-ups. The same template work, every week, eating senior time that should go to selling and operations.
- 02
Competitors automating while you stay manual.
Other businesses in Morocco and across MENA are deploying AI inside the same tools you use, Odoo, WhatsApp, email. Their quotes go out in minutes. Their tickets get answered while yours wait. Their teams handle more without hiring. Every quarter you stay manual, the gap compounds and the catch-up cost grows.
- 03
No way to tell if the AI is right.
The AI gives an answer. Nobody can tell if it is correct, so your team double-checks every output. The productivity gain disappears under the second-guessing.
- 04
AI making up answers in front of clients.
The model invents an answer once a week. Your client finds out before your team does. Trust drops a notch each time, and the AI gets unplugged.
AI engineered around
your operations.
We start with the operational tasks eating your team's time, then build AI that takes them over inside the tools you already use. Real evals before anything reaches users. Deployed to production with monitoring. Your team feels the leverage by week eight.
- 01
Operational use cases first, not models.
We start with the workflow you want AI to take over (drafting quotes, classifying emails, reconciling invoices, answering FAQs), not the latest model. Then we benchmark Claude, Gemini, GPT, and open-source on your real task. The cheapest model that beats the bar gets the job.
- 02
Deployed inside your stack.
Odoo, Gmail, WhatsApp, Google Workspace. AI runs inside the tools your team already uses, not in a separate app nobody opens. Built on patterns that survive the next model release.
- 03
Evals before ship.
A test set scoped to your task, run on every change. The model only ships when it beats the human baseline on the metric you care about.
- 04
Production, not playground.
Deployed inside your apps, logged, monitored, fail-safed. When something drifts, you see it before users do.
We run on AI first.
Before we deploy AI for clients, we deploy it for ourselves. Scaleo's own operations run on the same playbook we sell. We ship internally, document what works, fix what breaks. Our case study is our own business.
Four steps from operational pain
to AI in production.
A linear path with concrete deliverables at every gate. No black boxes.
- Week 101
Operational audit & use-case shortlist
We walk through your team's real work. Which tasks are repetitive enough for AI to take over. Which deliver enough ROI to justify the build. Which ones to skip because they are AI hype with no leverage. You see the shortlist before any model is touched.
- Weeks 2 – 402
Eval design & first build
We build the test set first, then the first AI use case. Models benchmarked on your real task. The right approach chosen on evidence, not on what is trending on Twitter.
- Weeks 5 – 703
Production build inside your tools
We integrate the AI inside the tools your team already uses (Odoo, Gmail, WhatsApp, Google Workspace). Logging instrumented. Fail-safes in place. Deployed behind a feature flag so you can pause it any time.
- Week 8 onward04
Rollout & ownership
Gradual rollout, monitoring, eval-on-prod. Documentation and training so your team owns the system. Monthly model review on real usage.
Let's put AI to work on something real.
Deliverables you can
actually see.
- Operational audit and use-case shortlist ranked by ROI.
- Eval set scoped to your real task and quality bar.
- First AI use case in production, deployed inside your existing tools.
- Prompt versioning, logging, and monitoring stack, running where your team works.
- Cost dashboard and per-task accuracy reports.
- Operator documentation and a 90-day eval-on-prod retainer.
AI built by a team
that runs on AI.
- 01
We run on AI first.
Before we ship AI for clients, we ship it for ourselves. Scaleo's own operations run on the same playbook we sell. Our case study is our own business.
- 02
Evals first, always.
No model goes live without a test set. No improvement is claimed without numbers to back it.
- 03
Built into your tools, owned by your team.
AI runs inside Odoo, your inbox, your CRM, not in a separate app. Prompts and evals are yours to run. When the next model drops, you switch in a day.
Before you ask, the short answers.
- Whichever beats the eval on your task at the lowest cost. We benchmark Claude, Gemini, GPT, and open-source models for each use case. The setup is model-agnostic, so swapping when a better one drops takes a day.
AI that takes over the work your team stopped enjoying.
Operational AI deployed inside your existing tools. Eval-driven engineering. The same playbook we use to run Scaleo.
- First AI use case live within 4 weeks
- Evals scoped to your real task, before any model touches users
- Free 30-minute AI call to start
Got a project in mind? Request your quote.
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