AYOGIImplement · Integrate · Automate

Portfolio · Odoo

Odoo implementation, plus the AI layer it doesn't ship with.

Odoo v16/v17 configuration and data modeling, and, where a client's setup needs more than the stock module gives them, a custom AI integration layer built around Odoo's existing data model rather than bolted on beside it.

Modules implemented

Core modules first, in the order most SMBs actually roll them out.

Core

Sales & CRM

Pipeline and quoting configured around how deals actually close, not a generic default.

Core

Accounting

Invoicing, vendor bills, and reconciliation set up to match a client's real approval workflow.

Core

Inventory

Stock, reorder rules, and warehouse logic. The module most SMBs get the fastest ROI from after CRM.

Expansion

Manufacturing / MRP

Bills of materials, work orders, and demand planning once core scope is stable.

Expansion

HR

Employee records, time off, and recruitment inside the same system as the rest of operations.

Also available

Website / Helpdesk

eCommerce and support-ticket modules, scoped in when a client's setup actually calls for them.

Capability demonstrations

Worked examples of how a real, sourced business problem gets approached. Not completed client engagements, and not presented as ones.

Concept Demo · Healthcare / Benefits

AI-assisted benefits plan intake

Benefits brokerages and self-insured employers routinely re-key the same plan data (coverage tiers, rates, eligibility rules) by hand from carrier PDFs into their core system, then again into a separate enrollment platform. Each hand-off is a place for errors to creep in.

Carrier PDFPlan document arrives
AI extractionTiers, rates, eligibility rules
Matches prior plan year → Odoo record updated
Doesn't match → flagged for human review

A working, scaled-down prototype of this extraction pattern already exists. Same pattern works for Salesforce records too, the platform isn't the point.

Concept Demo · Manufacturing

AI-assisted inventory & demand forecasting

Static min/max reorder points in Odoo Inventory/MRP are a common source of stockouts and overstock for small and mid-size manufacturers.

Historical salesA client's own seasonal patterns
Forecast modelReplaces static min/max points
Reorder recommendationNot an autonomous purchase
Human approvesBefore anything is ordered
Concept Demo · General SMB

AI-assisted vendor bill processing

Odoo already ships a first-party invoice-automation feature, which is evidence the underlying pain point is common enough to build for generically. The value beyond that is extending it for a specific client's actual vendor mix and approval workflow.

Vendor bill receivedExtracted and matched to vendor profile
Standard & expected → auto-processed
Unusual item, new vendor, or price drift → routed to approver

Where this goes beyond Odoo's native AI

Odoo Enterprise ships built-in AI: text generation, lead scoring, OCR, chatbots. But it's Enterprise-only (nothing on Community, which is exactly what most 10–200 person SMBs run to control cost), deliberately narrow in scope inside a single module, and can't reach outside Odoo into Salesforce, email, or a document store. The moment a use case needs a custom document format, a workflow spanning multiple systems, or judgment about what's safe to automate, that's outside what native Odoo AI is built to do. That's the gap this work sits in.