OPAG designs, deploys, and governs AI agents for regulated operations. Every workflow ships with human approval, role-based access, source-linked answers, and an audit trail your IT, security, and compliance teams can inspect.
Every engagement starts with the workflow, the data boundary, and the people who approve the decision. AI follows.
The pattern is familiar: promising pilots, nervous stakeholders, fragmented systems, and no clean answer for security, compliance, or the board. We build the controls and the workflow together.
Reports take days, dashboards disagree, and the person asking the question cannot see which source produced the answer.
Conversational AI with citations, access control, and traceable reasoning across ERP, CRM, documents, and custom systems.
Stockouts, margin erosion, compliance exceptions, and churn all surface too late because forecasts live outside the daily operating rhythm.
Predictive models that flag drift, explain the inputs, and route exceptions to the right human before damage compounds.
Teams can make more content, proposals, and documents, but legal, brand, and compliance still need proof of who approved what.
Generative workflows with brand rules, review queues, version history, and human sign-off before anything leaves the business.
Who can the agent act for? What data can it touch? What happens when it is wrong? Without answers, adoption stops.
Agentic AI with permissions, approval gates, rollback, observability, and a complete audit trail. Humans remain accountable.
We do not sell loose AI features. We ship governed workflows where every answer, forecast, document, and agent action has ownership, evidence, and a path back to a human.
Role-aware AI over ERP, CRM, documents, and custom systems. Operators ask in plain language; every answer shows where it came from and what the user is allowed to see.
Demand, churn, supplier risk, pricing, and compliance exceptions with inspectable inputs, confidence bands, drift monitoring, and escalation rules.
Campaigns, proposals, policies, packaging, emails, and internal knowledge content with brand rules, legal review, and versioned approval trails.
AI agents execute repeatable work with policy guardrails, approval thresholds, rollback, observability, and Human-in-Loop oversight built into the operating model.
OPAG treats governance as product architecture. Before an agent takes action, we define what it can see, who it can act for, when it must pause, and how the decision is audited.
The goal is not to make AI look impressive in a demo. The goal is to make it safe enough for the teams who own the risk to approve it, monitor it, and scale it.
Map workflow rules, data boundaries, and who owns approval.
Define permissions, review queues, rollback, and escalation paths.
Ship with observability, source evidence, and audit-ready logs.
Agents inherit role-based permissions and only touch the systems, records, and actions approved for that user group.
Answers, forecasts, and document outputs link back to the underlying data, policy, or workflow event that shaped them.
High-risk actions pause for human review, with thresholds tuned by workflow, department, and compliance exposure.
Prompts, tools, approvals, overrides, and agent actions are logged so IT, security, and leadership can reconstruct decisions.
We pick verticals where AI is a margin lever, not a marketing exercise. If your business runs on inventory, customers, compliance or content — we have shipped here before.
Stock, salesforce and shelves — solved with AI.
Front desk to back office, on one AI fabric.
Compliance-first AI for clinics and providers.
Research, contracts and client chat — automated, not abandoned.
POS, kitchen, supply — speaking the same language.
BOM, machinery, distribution — one AI ERP.
Feature-led examples of OPAG agents across Hobnob recipe margin variance, Indus Hospital charity eligibility documentation, Ajwa trade promotion deductions, Retina imaging authorization, export certificate readiness, lab capacity planning, finance, healthcare, hospitality, FMCG, and restaurant operations.
See how OPAG designed a governed AI recipe margin variance agent for Hobnob that flagged 35 recipe-cost, supplier-invoice, POS-demand, prep-waste, substitution, menu-price, and approval exceptions with source evidence.
See how OPAG designed a governed AI charity eligibility documentation agent for Indus Hospital that prepared 44 financial-assistance, payer-status, missing-document, referral, discharge-timing, outreach, and approval packets with source evidence.
See how OPAG designed a governed AI trade promotion deduction agent for Ajwa Group that flagged 27 rebate, promotion deduction, credit-note, customer-balance, route-invoice, policy, and approval exceptions with source evidence.
See how OPAG designed a governed AI imaging authorization agent for Retina Eyecare that prepared 34 OCT order, retina imaging, referral, insurance eligibility, appointment, consent, provider review, and outreach approval packets with source evidence.
See how OPAG designed a governed AI export certificate readiness agent for Ajwa Group that flagged 33 certificate, batch, label, cold-chain, invoice, packing-list, customs, and shipment-release exceptions with source evidence and human approval.
See how OPAG designed a governed AI lab capacity planning agent for Al Hamd Labs that prepared 41 analyzer queue, sample aging, reagent, technician roster, courier cutoff, branch load, urgent test, and supervisor approval packets with source evidence.
The six most recent answer-first OPAG articles across customer deduction prevention AI, provider documentation readiness AI, sales order exception AI, production changeover AI, bank reconciliation AI, and market label readiness AI.
Learn how cash forecast exception AI helps finance and treasury teams catch liquidity timing risk, AR/AP variance, payroll and tax calendar pressure, purchase commitments, and cash approval gaps with governed AI packets.
Learn how packaging vendor performance AI helps FMCG and manufacturing teams govern supplier OTIF, artwork readiness, certificate expiry, defects, shortages, recovery actions, and approval trails.
Learn how customer deduction prevention AI helps FMCG and distribution teams catch unsupported short pays, promotion deductions, delivery disputes, and credit-note risk before margin leaks through settlement.
Learn how provider documentation readiness AI helps healthcare teams prepare source-linked chart evidence, coding-query packets, payer support, and approval trails while keeping clinical and billing decisions under human review.
Learn how sales order exception AI helps teams detect blocked orders, protect customer promise dates, prepare source-linked approval packets, and keep customer-facing decisions under human control.
Learn how production changeover AI helps manufacturers detect schedule risk, prepare line-readiness packets, coordinate materials and labor, and preserve human approval over plant-impacting decisions.
We had three AI vendors in the building this year. OPAG were the only ones whose deliverable on day 90 was code running on our servers.
Our guests do not know which channel they are talking to and that is exactly the point. The AI just works — in five languages, twenty-four hours.
Every AI output cites its source. The bar association cannot ask for more than that.
We stopped asking for reports. We just ask the AI. The weekly close that used to take three days now takes one Sunday afternoon.
They handled the security and compliance review before we even asked. That alone bought us six months.
Builders, not advisors — and you can tell five minutes into the first call.
OPAG designs, deploys, and governs production AI for companies that cannot afford black-box automation. The brand is built around enterprise controls, measurable implementation, and long-term operational trust.
OPAG is focused on durable AI implementation: governed workflows, secure data boundaries, human approvals, and measurable operating outcomes that leadership can defend.
No proof-of-concepts that die in a drawer. Every engagement ends with governed software running on your data, with controls your IT and compliance teams can inspect.
We walk your floor, your systems, and your governance constraints for two weeks. Output: ranked AI opportunities, control gaps, and ROI math.
One workflow that can pay for the next three and survive stakeholder review. Usually inventory, support, pricing, compliance, or document operations.
Live tenant. Your code. Your data. Eighteen weeks to first governed agent in production. Weekly demos, no quarterly surprises.
Every agent ships with reviewers, approval thresholds, audit logs, rollback, and source evidence. AI does the work. Your people stay accountable.
After the first workflow, we add one new AI capability per quarter with the same controls. A five-year horizon, not a three-month experiment.
Permissions, approvals, audit logs, and rollback are part of the product, not a later add-on.
SOC2-aligned delivery practices, HIPAA-ready architecture patterns, GDPR-conscious data handling.
Cloud, private cloud, and on-prem patterns so sensitive workflows can stay where policy requires.
Manufacturing, Hospitality, Legal, FMCG — production deployments with operators using the system.
Full source ownership available, inspectable integrations, no black-box lock-in.
We write code. The deliverable is governed software, not a deck.
Don’t see yours? Email us — we usually reply within a day.
Eighteen weeks on average from the kickoff to the first agent in production. Week one is discovery. Week two is the ROI model. Code starts week three.
You do. Full source ownership, on-prem deployment available, auditable AI by default. We do not lock you into a SaaS contract you cannot exit.
We work alongside your IT and security teams from day one. SOC2-aligned engagements, HIPAA-ready architectures, GDPR by default. Your security team approves every deployment surface before it goes live.
Either. Most clients keep their ERP and let our AI layer query, augment and automate against it. A few green-field clients let us ship the ERP and the AI together. Both work.
Fixed price per workflow shipped, plus a quarterly retainer for new capability. No hourly billing, no scope-creep invoices. We share the ROI model in the second call and the price right after.
No. Every agent ships with a Human-in-Loop reviewer, audit log and rollback. The point is 30× throughput from the same team, not redundancy.
Tell us where AI is blocked by risk, compliance, or fragmented systems. We will reply with a scoped discovery plan, the governance questions to answer first, and the fastest route to a live workflow.