AI strategy and readiness
Find the use cases worth doing, check whether your data is ready, and get a clear plan with costs, risks and quick wins.
AI integration consulting
Put AI to work on your own data.
WhatanIQ connects AI to the systems your business already runs: ERP, databases, documents and file shares. You get accurate answers, automated workflows and AI agents, in the cloud or running fully offline in your office.
- RAG over your documents
- AI connected to ERP and SQL data
- Private, offline AI agents
How it fits together
Your systems, one intelligent layer
AI is only useful when it knows your business. I build the secure layer between your data and the models, so answers come from your records, not guesses.
Your data
- ERP systems such as Epicor
- SQL Server and other databases
- Documents, PDFs and SharePoint
- Email, CRM and line-of-business apps
WhatanIQ layer
- Secure connectors and APIs
- Retrieval (RAG) and search
- Each user's existing permissions
- Audit log and human approval
What your team gets
- Plain-language questions and answers
- Agents that watch, alert and act
- Summaries, reports and drafts
- Hours back every week
Services
What I can help with
Start with one use case or plan the whole roadmap. Every engagement is built around real data and a working result, not a slide deck.
RAG over your knowledge
Ask questions across policies, SOPs, manuals, contracts and SharePoint. Answers cite the source document so people can check them.
AI connected to ERP and databases
Let people ask your ERP or SQL data questions in plain language. Read-only by default, with each user's existing access rules applied.
Private and offline AI
AI assistants and agents running on hardware in your office, using open-weight models. No internet needed, and no data leaves the building.
AI agents and automation
Agents that watch for late orders or shortages, triage requests, draft replies and update systems, with a person approving changes.
Integrations and data pipelines
Connect ERP, databases, Microsoft 365 and cloud services through APIs and MCP tools, so AI and reporting work from the same clean data.
Deployment
Run AI where your data is allowed to live
Every business has different rules about where data can go. Pick the setup that fits yours.
Cloud
In your own cloud tenant
Models such as Azure OpenAI run inside your own subscription. Fast to start, scales with you, and your data is not used to train models.
Hybrid
Sensitive data stays local
Your data and search index stay on your network, and only the queries you allow go to a cloud model. A balance of capability and control.
Offline
Fully on-premises
A private AI server in your office running local models and agents. Works without internet, suited to legal, financial and regulated work.
- Respects existing user permissions
- Read-only unless you approve otherwise
- Every question and action logged
- Your data is never used for training
Products
Built, not just advised
I design and ship my own AI and SaaS products. That work shapes the advice I give: practical, tested and focused on what people will actually use.
WhataJump
AI for ERPAsk your ERP a question the way you'd ask a colleague. WhataJump reads ERP data through its own API, under each user's existing permissions, and answers in seconds, with alerts and reports.
whatajump.com →Collablly
Supplier collaborationA supplier relationship management platform for procurement and operations teams. Purchase orders, approvals, follow-ups and supplier performance in one workspace.
collablly.com →Whatapost
AI contentWrites, designs and schedules on-brand posts for LinkedIn, Facebook, Instagram and X. Every post is approved before it goes out, and a single calendar shows the whole week.
whatapost.com →WhataJig
NewThe newest product in the Whata family, built on the same idea: take a task people repeat every day and make it take seconds.
whatajig.com →Approach
From idea to working AI in weeks
No long sales cycle, and no surprises on scope or cost.
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1
Intro call
A 30-minute call, at no charge, to understand your systems, your data and what a good outcome looks like.
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2
Assessment
A review of your use cases and data, with a recommended setup and a fixed scope with a clear estimate.
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3
Pilot
A working pilot on your real data, tested with a small group before it reaches everyone.
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4
Rollout and support
Training and documentation for your team, plus optional ongoing support as models and needs change.
Project
A fixed scope and price for a defined outcome, such as a RAG assistant, an ERP connection or an on-site AI server.
Advisory hours
Book time as you need it for AI strategy, architecture reviews or a second opinion on a vendor.
Monthly retainer
A set number of hours each month for new agents, improvements, model updates and support.
Who I work with
Businesses with data worth using
Manufacturers and distributors
Teams with years of ERP data who want answers, alerts and forecasts without building reports by hand.
Professional offices
Legal, accounting, engineering and healthcare offices that need AI but cannot send client data to the public cloud.
Operations and IT leaders
People asked to "do something with AI" who want a secure, practical plan their team will actually use.
About
Hi, I'm Hassan.
I build AI that works with real business data. I'm the founder behind WhataJump, Collablly, Whatapost and WhataJig, and I've spent my career where enterprise systems meet the people who use them every day.
My background in ERP consulting, including deep Epicor experience, means I understand how business data is structured and where it hides. WhatanIQ combines that with hands-on experience shipping AI products, so you get an AI system that is accurate, secure and adopted.
- RAG and search over documents and knowledge bases
- LLM integration with cloud and local open-weight models
- AI agents and MCP tool integrations
- ERP and database integration, including Epicor and SQL Server
- On-premises deployment of private AI for offices
Let's put AI to work on your data.
Tell me what your team spends too much time on, and which systems hold the data. I'll reply within one business day.
- 30-minute intro call, no charge
- No obligation and no sales pressure
- Your details are never shared