Context
AI lacks business context.
Connect answers to approved company knowledge and records.
● Zoho Zia · Odoo AICustom LLM apps · Agents
GenAI · Agentic AI · Zia · Odoo AI
Put AI to work inside the systems you already run.
Bring AI into the Zoho, Odoo and business applications your team already uses—so everyday work gets simpler.
Grounded in your own documents and recordsHuman approval built inBuilt around real business workflows
Assist · Automate · Act, with guardrails
Use case firstWe start from a task and a metric, not a model
Grounded answersEvery answer traceable to an approved source
Human in the loopApproval before any sensitive action
Inside Zoho & OdooAI where the work already happens
Why AI stalls
AI works when it fits the way your business works.
Most AI initiatives struggle for three simple reasons. We design around them from the start.
Manual work
Teams still copy data by hand.
Use AI to read documents and prepare information for Zoho, Odoo or your apps.
Trust
Good demos do not always work in production.
Build in access controls, human review and clear measures of quality.
What we build
Practical AI for everyday business tasks.
A few focused examples of how AI can help teams spend less time reading, writing and searching.
Finance
Invoice & PO extraction
Solves: hours of keying supplier documents.
Read invoices, POs and delivery notes, extract header and line items, match them against the PO and GRN, and post drafts to Zoho Books or Odoo. Exceptions go to a person.
Extraction3-way matchExceptions queue
Sales
CRM copilot
Solves: reps spending more time updating CRM than selling.
Summaries of the account before a call, follow-up emails drafted from meeting notes, next-best actions, and lead enrichment in Zoho CRM or Odoo CRM.
SummariesDraftsEnrichment
Service
Ticket triage & reply assist
Solves: slow first responses and mis-routed tickets.
Classify incoming emails and tickets, detect urgency and sentiment, suggest replies from the knowledge base, and route to the right queue in Zoho Desk or Odoo Helpdesk.
TriageSuggested repliesRouting
Operations
Knowledge assistant
Solves: answers buried in SOPs and manuals.
Natural-language questions over approved procedures, technical manuals, specs and past cases, with the source shown, and respecting who's allowed to see what.
RAGCitationsAccess control
Compliance
Contract & document review
Solves: clauses and deadlines missed in long documents.
Extract parties, dates, obligations and renewal terms, compare them against your standard clauses, and create reminders in your compliance tracker.
Clause extractionDeadlinesComparisons
Management
Ask-your-data
Solves: waiting a day for a simple report.
Plain-English questions over Zoho Analytics or your ERP data, giving charts and explanations with the query shown, so numbers can be checked.
NL queriesExplanationsDashboards
Inside an agent
How a bounded AI agent actually works.
No black box. Every agent we build follows this pattern, and every step is logged.
01
Trigger
Email · form · scheduleA new request, document or event starts the run.
02
Gather context
Permitted data onlyIt reads the records and documents this user and task are allowed to see.
03
Reason & plan
LLMIt works out what's being asked and which steps are needed.
04
Use tools
Zoho · Odoo · APIsIt calls allow-listed actions: look up stock, draft a quote, create a task.
05
Human approval
Where it mattersAnything sensitive waits for a person to approve, edit or reject.
06
Act & record
Audit logIt completes the action and logs the inputs, outputs and decision trail.
Agents connect to business systems through APIs and, where the platform supports it, standard connectors such as the Model Context Protocol (MCP). That keeps access explicit and revocable.
AI in Zoho and Odoo
Use what you already pay for, then extend it.
Native AI features are the fastest start. Custom AI fills the gaps.
Zoho: Zia and beyond
Zia is built into Zoho CRM, Desk, Analytics and other apps. We configure it around specific decisions, then connect custom models and agents through Zoho's APIs, Deluge and Catalyst where needed.
- Zia lead and deal predictions tuned to your pipeline
- Anomaly alerts on sales, tickets or finance metrics
- Email and ticket intelligence: sentiment, intent, suggested replies
- Ask Zia in Analytics for plain-English reporting
- Custom agents that read and update CRM, Books and Creator records
Odoo: built-in AI and custom extensions
Recent Odoo versions bring AI into everyday apps. We enable what fits, and build custom AI modules where your process needs more.
- Drafting and summarising in Odoo's text fields and chatter
- Document digitisation of vendor bills and expenses
- AI-assisted helpdesk replies from your knowledge base
- Custom modules that call your chosen model with full access control
- Assistants that query stock, orders and production status
Available AI features vary by product, edition, plan and region. We confirm what's available on your setup during discovery.
Governance by design
Safe enough for legal, simple enough for users.
Governance isn't a document written after launch. It's a set of decisions built into the solution from the first sprint.
Data & access
- Enterprise model endpoints, so your data isn't used for training
- Document-level permissions inherited from your systems
- Sensitive fields masked before they reach the model
- Hosting region chosen to match your policies
Quality & oversight
- Evaluation sets of real questions with expected answers
- Source citations and confidence thresholds
- Approval steps for any action that changes records
- A full audit log of prompts, tools used and outcomes
Questions we hear
AI, without the hype.
What is the difference between GenAI and agentic AI?
Generative AI produces content: answers, summaries, drafts and extracted data. Agentic AI goes a step further. It can plan a few steps, call approved tools (your CRM, ERP or document store) and complete a task, ideally with a person approving anything sensitive. We design both, and we choose the simplest approach that solves the problem.
Will our data be used to train public AI models?
Not in the solutions we design. We use enterprise model endpoints and settings where your inputs are not used for training, keep sensitive data inside your own systems where possible, and apply access controls so the AI only sees what the user is allowed to see.
Can AI work inside Zoho and Odoo?
Yes. Zoho includes Zia for predictions, anomaly detection and assistance, and supports AI agents and integrations. Recent Odoo versions include built-in AI features. Where native features stop, we connect models to Zoho and Odoo through their APIs, so assistants can read records, draft updates and trigger approved workflows.
How do you stop the AI from making things up?
We ground answers in your approved documents and records (retrieval), show sources with every answer, restrict the assistant to its scope, and route uncertain or high-impact cases to a person. We use a test set of real questions with expected answers, so accuracy is measured rather than assumed.
How do you get started with AI?
We begin with a real business task, check the relevant data and systems, and agree on what a useful result looks like. From there, we recommend a practical way to implement and measure the solution.
What does it cost to run?
Running cost depends on the model, the volume of documents or conversations and the hosting. We estimate it using expected usage, and we design to keep it predictable. That means smaller models where they are good enough, caching, and AI used only where it adds value.
Do we need perfect data before starting?
No. But the use case must have usable source material: documents, records or history the AI can rely on. Part of discovery is checking data readiness and fixing the minimum needed for the first use case.
Let’s build something useful
What task would you automate first?
Tell us what slows your team down. We can explore the use case, the data it needs and what a measurable pilot could look like.