“We know work is slow, but not where it breaks.”
AI follows real documents across handoffs and surfaces missing controls, repeated entry, unresolved ownership and process gaps.
You begin with a prioritised problem map—not assumptions.01 ·Agnidoot Implement
One week to implementation-ready
Your Odoo implementation, ready to start in one week.
Invite people from sales, purchasing, finance, operations and every other department. They upload a few documents from the work they know. AI reads the evidence, finds the processes and problems, drafts the requirements and maps the Odoo build. Your people do not write specifications—they confirm what the AI understood.
A confirmed blueprint, fit-gap and build sequence
◆No weeks of workshops
◆No ERP vocabulary required
◆Secure, scoped access for every contributor
Your first working week
From department knowledge to an Odoo plan
WORKSPACE / SECURED
STATUS · ON SCHEDULE
STATUS · ON SCHEDULE
Day 1 · Invite and upload
Each department brings its own evidence
→
SalesPurchaseFinanceOperations
Days 2–3 · AI discovers
Processes, problems, rules and master data
Every finding stays linked to the document that revealed it.
Day 4 · People confirm
Review what AI understood
→
Accept, correct or reject. No blank requirements document to write.
Day 5 · Ready to implement
Approved blueprint and build sequence
Fit-gap, data needs, blockers and Odoo decisions in one record.
PEOPLE CONTRIBUTE ASYNCHRONOUSLY
AI DOES THE HEAVY LIFT Implementation-ready
AI DOES THE HEAVY LIFT Implementation-ready
1 working weekto an implementation-ready package
Department by departmentinvite contributors and scope their uploads
AI does the workpeople confirm the business decisions
Secured throughoutscoped access, approvals and audit trail
What the customer gets
By the end of the week, you know what is wrong, what Odoo should solve and what the build requires.
The benefit is not simply faster documentation. It is reaching implementation with fewer unknowns, less departmental disagreement and a decision trail everyone can inspect.
“Every department explains the process differently.”
Invite each department to upload examples from the work it owns. Contributors see only their assigned business areas, while the owner receives one joined picture.
Department knowledge becomes one implementation record.“We cannot write an ERP specification.”
Your team reviews plain-language findings and requirements generated from its own evidence. People confirm or correct; they do not start from a blank page.
Far less workshop time and no ERP translation burden.“The real cost appears after the project starts.”
Every requirement is classified as standard Odoo, configuration or custom work before the blueprint is approved.
Scope and cost drivers become visible before implementation.“AI sounds fast, but can we trust what it found?”
Every conclusion carries its source. Low-confidence results ask for review, and consequential decisions wait for a named approver.
You can challenge every answer instead of trusting a black box.“Uploading business documents creates a security risk.”
Workspaces are isolated, invited contributors are scoped by business area, and every approval and build action is attributable.
Collaboration stays controlled from first upload to handoff.From evidence to working Odoo
A fully automated process—with humans only where confirmation matters.
AI does the reading, structuring, problem identification, requirement drafting, Odoo mapping and repetitive setup. Your people review what it understood and confirm the decisions. Nothing crosses a gate until the output is visible and the right person accepts it.
01
You provide
Real documents, not polished requirements
Upload the folders your business actually runs on—scans, spreadsheets, quotations, orders, SOPs and emails.
Gate output
A classified, searchable source set with failures named instead of hidden.
02
Agnidoot discovers
Entities, processes and operating rules
It separates your policies from supplier terms, resolves likely duplicates and keeps every extracted fact attached to its evidence.
Gate output
A business model your team can correct in ordinary language.
03
You confirm
Requirements written from the evidence
Requirements arrive as a numbered, revisable list. Confirmed decisions survive a rerun; changes never silently duplicate them.
Gate output
A signed-off requirement set with a source trail for every row.
04
Agnidoot maps
What Odoo covers—and what it does not
Each requirement lands in one of three honest buckets: standard, configuration or custom. The map respects the Odoo edition you intend to run.
Gate output
A fit-gap that turns scope into visible choices instead of surprise invoices.
05
Approvers decide
A blueprint that names every blocker
The blueprint refuses readiness when a requirement is unresolved. Every revision is a permanent snapshot, never a quietly edited document.
Gate output
An approved build plan, implementation package and decision record.
06
The platform builds
A governed Odoo foundation
Dry-run first, then apply. Re-running is safe, permissions remain in force, and Odoo errors return in language the implementation team can act on.
Gate output
A working foundation plus a clear handoff for the remaining implementation work.
The implementation engine
Automation where repetition is expensive. People where judgment matters.
This is not a chatbot pretending to be a consultant. It is a controlled delivery system for the parts of implementation that should be reproducible.
Document intelligence
Drop in the whole folder. The intake survives reality.
Bulk upload, OCR for scanned pages and durable background jobs. One corrupt file is skipped and named; it does not sink the batch.
- PDF, image, spreadsheet and text intake
- Per-document status and recoverable processing
Business discovery
Your business, without ERP translation
Products, counterparties, processes and rules emerge from the paperwork your team already understands.
Requirements
Drafted, cited and revisable
Every requirement says where it came from. Plain-English steering updates the set without erasing confirmed work.
Fit-gap
Scope before the invoice
Standard, configuration or custom—every requirement mapped and nothing quietly dropped.
Governed delivery
Dry-run, approve, apply
Consequential changes wait for a distinct approver and every transition leaves an audit record.
A different implementation model
Replace discovery theatre with visible decisions.
Traditional delivery makes customers repeat what their own systems and documents already know. Agnidoot turns that material into something both the business and the implementer can challenge.
Traditional implementation
01
Weeks of translation workshops
Your team learns ERP language before the implementer learns your business.
02
Requirements detached from evidence
Decisions become meeting notes, then get debated again when the build starts.
03
Scope appears gradually
Fit, configuration and custom work become visible only after cost has accumulated.
04
One large acceptance moment
Misunderstandings travel downstream before the customer sees working software.
The Agnidoot model
01
Start from operational evidence
Your real paperwork reveals the vocabulary, exceptions and handoffs that matter.
02
Every requirement cites its source
The reason for a decision remains available during build, approval and audit.
03
Fit-gap makes cost drivers explicit
Standard, configuration and custom work are separated before the blueprint is approved.
04
Six small acceptance gates
Your team catches a wrong assumption in the stage where it occurs.
The honest boundary
A governed head start—not autonomous ERP deployment.
The platform accelerates what it can verify. Specialist configuration and business sign-off remain with the people accountable for the result.
Automated and governed today
- Document intake, OCR, classification and evidence capture
- Entity, process and rule discovery
- Requirements and Odoo fit-gap drafting
- Blueprint readiness and versioned approval
- Company, partner, contact, product and module bootstrap
- Dry-run, idempotency and decision audit trail
Completed with your implementation team
- Jurisdiction-specific tax and accounting setup
- Opening stock, BOMs and complex historical migration
- Pricing policy and commercial master-data decisions
- Custom integrations and exceptional workflows
- User acceptance, production cutover and organisational change
- Final go-live timing, measured on your pilot
Your implementation can be ready next week
Invite your departments. Upload the evidence. Let AI assemble the plan.
In one working week, move from scattered knowledge to a confirmed problem map, fit-gap, blueprint and governed Odoo build sequence.
Questions
What teams ask before they hand over the folder.
Do we have to write a requirements document first?
No. Bring the documents your business already uses. Agnidoot drafts the requirements from that evidence; your job is to correct, challenge and approve them.
What if the AI misunderstands a process?
That is expected in places, which is why there are six gates. A misunderstanding is corrected before it becomes a fit-gap decision or build action, and the correction remains in the record.
Can this work with an Odoo we already run?
Yes. The same evidence and fit-gap approach can inspect an existing instance, identify the painful processes and stage approved improvements without requiring a reimplementation.
Does Agnidoot generate custom code?
The implementation engine prefers standard Odoo and configuration. When a requirement genuinely needs custom work, the fit-gap names it explicitly for design and review rather than generating unreviewed production code.
Where are our documents processed?
Standard deployments use the configured governed provider path. Enterprise deployments can keep models and document embeddings entirely inside infrastructure you control.
How quickly will we go live?
Discovery and blueprint work can move far faster than a workshop-led project, but a responsible go-live date depends on your scope, data and approvals. We measure the full timeline on your pilot instead of promising an invented universal number.