Every process we map gets the same three questions
A successful Odoo implementation starts with understanding how your company actually operates. Agentic AI starts from exactly the same understanding.
How should Odoo support this?
Structured processes, clean data and clear responsibilities belong in your ERP — the operational backbone.
What can be automated?
Predictable, rule-based work should run by itself: no judgement required, no time wasted.
What can an AI agent do?
Work that requires reading, interpreting and preparing across systems is where an AI agent earns its place.
From process to intelligent operations
One continuous transformation — not separate Odoo and AI projects.
Understand
We learn how your teams really work: processes, responsibilities, bottlenecks.
Map
We map workflows, information flows, approvals and repetitive tasks.
Implement Odoo
We implement the right processes in Odoo — your central source of truth.
Automate
Rule-based work becomes automation inside your workflows.
Agentify
We design AI agents for interpretation-heavy work, with clear guardrails.
Optimise
We measure, refine and extend — process by process.
One continuous process — not six separate projects.
Who should do the work?
For every task in a process, we decide who — or what — should own it.
AI Opportunity Mapping
While we analyse your processes, we systematically identify where time and margin leak away: repetitive manual work, administrative overhead, information-intensive tasks, decision bottlenecks and workflows that span several systems.
For every opportunity we decide together: Odoo, automation, an AI agent, AI with a human in the loop — or simply a person. Where possible, we estimate the result.
What we estimate per opportunity
- Hours saved
- Faster processing
- Fewer errors
- Lower operational cost
- Faster response times
- Better data quality
Repetitive manual work
Copying, re-typing and re-checking information that never needed a person.
Administrative overhead
Forms, follow-ups and reports that eat hours every week.
Information-intensive tasks
Reading documents, mails and histories to prepare a decision or a record.
Decision bottlenecks
Work that waits because one person has to interpret and route it.
Cross-system workflows
Processes that hop between mail, spreadsheets, Odoo and other tools.
AI agents work inside your processes — not beside them
Agents are not isolated chatbots. They read what comes in, act in Odoo, and hand over to people where it matters.
Emails, customer requests, documents, supplier updates, field reports and other systems feed AI agents. The agents read, interpret and prepare work, and interact with Odoo modules such as CRM, Sales, Project, Field Service, Purchase, Inventory, Accounting and Manufacturing — with human validation where required.
What comes in
- Emails
- Customer requests
- Documents
- Supplier updates
- Field reports
- Other systems
AI agents
Read, classify, prepare and execute — inside your real workflows.
Human validation where requiredActing in Odoo
- CRM
- Sales
- Project
- Field Service
- Purchase
- Inventory
- Accounting
- Manufacturing
Odoo stays the operational backbone. Agents work in it — never around it.
What agents can take over in your sector
Concrete examples from the industries we know best. Every agent is designed around your processes — not off the shelf.
Analyse incoming project documents and specifications
Extract project information and prepare Odoo project records
Detect missing project information
Assist quotation preparation
Compare actual costs with budgets and flag margin deviations
Prepare progress reports
Process supplier documents and follow up missing information
Understand and classify incoming service requests
Retrieve customer, equipment and previous intervention history
Prepare interventions and suggest technicians based on skills, availability and location
Summarise previous interventions
Process technician reports
Detect missing timesheets or materials
Prepare customer communication and invoicing
Analyse production information and identify anomalies
Monitor inventory risks and assist purchasing
Prepare supplier communication
Analyse delays and summarise production issues
Assist planning teams
Detect discrepancies between planned and actual production
These are examples of agents we design around your processes — not off-the-shelf products.
Autonomy is a choice, not a default
How much an agent may do on its own depends on process risk, permissions and governance.
Assist
The agent gathers, summarises and prepares. People do the work.
Recommend
The agent proposes the next action. People decide.
Execute with approval
The agent does the work; a person approves before it counts.
Autonomous execution
For low-risk, well-bounded tasks the agent runs end-to-end — monitored and auditable.
We define autonomy per process, based on risk, permissions and governance.
Measurable outcomes, not AI theatre
AI Agents — frequently asked questions
No — but the combination is where the value compounds. We often map processes, implement or improve Odoo, and introduce agents on top of that foundation. If you already run another ERP, the same approach applies.
We start from your business processes and your ERP, not from a model. Flydoo combines business-process expertise, Odoo knowledge, integrations and custom software — so agents land inside real operations, not in a demo.
Agents only get the permissions a process needs, actions are auditable, and human validation is built in wherever risk requires it. Governance is part of the design, not an afterthought.
With an AI Opportunity Mapping: we analyse a handful of processes, identify the opportunities, estimate the impact and agree where Odoo, automation or an agent fits. You get a concrete, prioritised roadmap.
That depends on the process and the level of autonomy. Because agents reuse the process analysis we already do for Odoo projects, the first step is smaller than most companies expect — the mapping tells you before you commit.