AI Solutions
Models, copilots, document intelligence, and forecasting inside live operations.
- Custom ML and AI copilots
- Process and document automation
- Demand, risk, and ops forecasting
Agentic AI · Blockchain · ERP
Intellitics Technologies designs agentic AI platforms, permissioned blockchain networks, and ERP systems that turn complex operations into trusted, automated workflows.
What we build
Models, copilots, document intelligence, and forecasting inside live operations.
Permissioned networks, smart contracts, and proofs partners and auditors can trust.
Finance, inventory, people, and customers on one core — with AI and chain where they belong.
AI + Blockchain
ERP events feed the agent layer. Policy decides what may proceed. Only approved outcomes are written to a permissioned ledger, then posted back to ERP.
Invoice, shipment, PO, or lot record is captured.
The agent extracts, plans, scores risk, and picks a tool.
Hash, policy ID, and model version go on-chain.
Payment, release, or recall pack executes in ERP.
Agentic operating model
Agents do not replace the ERP. They observe events, plan a next action, request tools, wait for policy and ledger proof, then write back only what the core system is allowed to post.
The agent keeps state across tools. The chain stores the proof. ERP remains the book of record.
Pull the ERP event, attachments, and prior proofs.
Break the goal into tool calls the agent is allowed to use.
Risk, duplicate, policy, and confidence decide the path.
Approved intent is hashed with model and policy IDs.
ERP posts the business action only after proof exists.
Result returns to memory. Failed writes trigger compensate.
Extraction, next-best action, tool selection, exception routing, and a retry when a write fails.
Event hash, timestamp, approver role, policy ID, and model version. No invoices or PII on-chain.
Orders, stock value, payments, and the posted journal. Agents recommend. ERP commits.
Reference architecture
Sources stay systems of record. Intelligence recommends. The permissioned network stores proofs, not personal files.
Where it lands
An agent extracts and matches invoices. Approved results are hashed before ERP releases payment.
Quality checks run in the agent layer. Custody events are signed on a permissioned ledger.
Forecast models consume plant data. Batch releases get a ledger stamp shared with finance.
Trust layer
High-stakes actions stay reviewable. Proofs stay useful in an audit. Personal data stays off-chain.
On-chain: event ID, hash, timestamp, approver role, model version, policy ID.
Off-chain: invoices, IDs, certificates, model weights, customer PII.
Selected work
Shop-floor and inventory signals fed an AI demand model inside ERP.
Each harvest lot received a signed identity. AI checked quality documents; the chain stored custody events.
AI extracted invoices and flagged duplicates. Approved invoices were hashed before payment release.
Why Intellitics
We design for production: clean master data, permissioned architecture, practical change management, and systems teams will actually use.
Map processes, data, and outcomes.
Architecture, UX, security, integration.
Working increments every sprint.
Go-live, training, and monitoring.
Let’s talk