We map how the business really runs—then ship agents
Forward-deployed engineers embed in your stack, encode the real playbook, and put governed AI agents into production so ROI shows up in weeks—not in a slide deck.
One partner, four ways to work together
Start where it makes sense. Most clients begin with an audit, then bring our engineers in to build and run what the audit proves.
AI consulting & audit
We map your workflows, data paths and risks, then hand you a prioritized, ROI-ranked automation backlog.
Forward-deployed engineering
Our engineers join your team, build inside your tools, and run governed agents in production.
Playbook Lab
Zenaiyo’s internal compounding engine: short prototypes and applied R&D so we test a model or agent pattern on your use case before you commit. Distinct from the client Sovereign AI Lab.
Productized AI services
Packaged agents for support, CRM sync and reporting: a proven starting point, deployed in weeks.
How an engagement runs
Map & audit
We interview your team, map one high-impact workflow end to end, and agree on the success metric before writing code.
Embed & ship agents
Engineers work in your repos, tools and Slack. We ship a first production agent workflow in weeks, behind approvals and policy checks.
Run & optimize
We monitor, tune prompts and routing, and extend scope only when the numbers justify it. Automation is operations, not a one-off project.
Playbook Lab — every deployment compounds
What we learn on your stack feeds evals and reusable playbooks for the next lane. That internal Playbook Lab is how Zenaiyo gets faster; your Company AI Lab (Owned Intelligence) is a separate product when data must stay on your perimeter.
- Prototype agent patterns and model choices against your real data, safely
- Evaluation harnesses that measure accuracy, cost and latency—reused on the next engagement
- Reusable connectors and guardrails that shorten every deployment
Governed by default
- Humans approve exceptions; agents run safe work automatically
- Policy checks and a full audit log on every action
- You own the code, prompts, models and data infrastructure
- Deployments aligned with GDPR and your security model
Frequently asked questions
What is a forward-deployed AI engineer?
An engineer who works inside your environment rather than from a distance: your tools, your data, your team's rituals. They own the path from a business problem to an AI workflow running in production.
How is this different from AI consulting?
Consulting ends with a recommendation. An embedded team keeps going: we build, deploy, monitor and improve the agents, and stay accountable for the outcome.
What is the Playbook Lab?
Zenaiyo’s internal compounding engine: short, scoped prototypes to test a model or agent pattern on your use case, with evaluation results, before a full build. Distinct from the client Sovereign AI Lab on your perimeter.
Can we start with just an audit?
Yes. The audit is a fixed-scope engagement with a deliverable you keep, whether or not you continue with us.
Who owns the code and data?
You do. Code, prompts, models and data infrastructure are yours, and deployments follow the security and compliance boundaries you set.
Need a Company AI Lab and Owned Intelligence?
Forward-deployed engineer days (€800–1,000 HT) are also the à-la-carte line of our Company AI Lab: open-weight models on your infrastructure or a French cloud—Owned Intelligence you keep.
See AI Lab / Owned Intelligence →Ready to put engineers on your AI roadmap?
Book a free 15-minute call. We'll tell you honestly whether an audit, a Playbook Lab prototype, or an embedded team fits your situation.
Book a free automation auditBeyond one agent: an embedded team for the full AI stack
Sales follow-up automation
Automated pipelines so no lead falls through the cracks.
No-code / low-code integrations
Connect your tools without custom development.
Lead qualification AI agents
AI that qualifies and routes leads in seconds.
CRM synchronization
Keep your CRM updated without manual data entry.
AI customer support
Resolve tickets 24/7 with consistent, on-brand responses.
Internal workflow automation
Streamline reporting, approvals, and internal tasks.
Document processing & reporting
Extract and report from documents automatically.
Email automation systems
Automate sequences, follow-ups, and inbox management.
Pricing
We don't publish fixed tiers for workflow automation—every engagement is scoped to your goals. The Company AI Lab has a published ladder.
To discuss
Monthly investment depends on scope, workflow depth, complexity, integrations, and timeline—we align everything on a call.
Discuss your projectCompany AI Lab ladder (HT)
Paid sovereignty offer for mid-market buyers who need local or French-cloud AI. Separate from the free automation audit on workflow pages.
Sovereignty Audit
€3–6k
3–5 days. Credited in full against the Pilot within 60 days.
Pilot Lab
€15–35k
One use case end-to-end, 4–6 weeks. Hardware or cloud at cost.
Lab Build with FDE
€60–180k
2–4 use cases, engineer embedded 2–3 days/week, 3–6 months.
Managed Lab
€2–8k / month
Run, updates, evals, compliance evidence. Infra pass-through.