Between your planning system and your ERP results sits a gap filled with email chains, approval delays, exception handling, and missed demand signals. Hubler's AI agents close that gap — across procurement, finance, operations, and compliance.
Hubler sits above your existing stack. Nothing is replaced. Everything is connected.
Planning systems answer what should happen. ERPs record what did happen. AI tells you what might happen. But between the plan and the result, someone still has to send the email, route the approval, reconcile the GRN, handle the exception, and update the record.
That work — the coordination of people, systems, approvals, and data between the moment a plan is made and the moment a result is recorded — is enterprise execution. It is the least-automated, highest-cost layer in every enterprise we have ever worked with.
It is also the layer that no ERP, planning system, or AI copilot was built to own.
"Enterprise execution is the coordination of people, systems, approvals, and data between the moment a plan is made and the moment a result is recorded — governed by AI agents that act on behalf of the enterprise, not just advise it."
— Hubler's definition. The category we are building. The problem we exist to solve.
SAP was built to record transactions. Anaplan was built to model the future. Both are excellent at what they do. What neither was built to do is govern the space in between — the approvals, the exceptions, the supplier calls, the compliance checks, the reconciliations that happen between a plan being made and a result being recorded.
For thirty years, that space was filled by people. Smart, expensive, overworked people with email and spreadsheets.
Then AI arrived — and rather than closing the execution gap, most AI tools made it wider. More recommendations. More insight. More things that someone still had to act on.
Hubler was built to be the execution layer enterprises never had. Not a copilot that advises. Not an RPA bot that breaks when the process changes. An AI agent layer that governs, coordinates, acts, and audits — in the same stack you already run, without replacing a single system.
It doesn't matter if you run SAP, Oracle, or a best-of-breed stack. The gap between planning and results looks the same across every enterprise we've worked with — only the domain changes.
A purchase requisition requires sign-off from 3–5 people. Each sits in email. Average enterprise approval time: 4.2 days. By the time it clears, the demand signal has shifted, the supplier has moved on, or the finance window has closed.
Routes approvals dynamically, enforces SLA timers, and escalates automatically. 88 hours a week saved at Lenskart.
The production schedule was right. The materials were planned. But between the planning system and the factory floor, information gets re-entered, reinterpreted, and delayed at every handoff. By shift start, the plan is already stale.
Translates production plans into floor-level actions — materials, schedules, and exceptions — without re-entry or reinterpretation at each handoff.
3-way matching — PO, GRN, invoice — is manual at scale. At 500 invoices a month, it is a full-time team. At 5,000, it is a department. The work grows linearly with the business, and the audit risk grows with the headcount.
Automates 3-way matching end-to-end. Flags only the exceptions that genuinely need human judgment. Full audit trail written to your ERP.
IFRS 16, procurement policy, vendor SLAs, store compliance checklists — each requires someone to check, verify, and enforce. Manually. Across hundreds of locations or thousands of contracts. Compliance is enforced at audit time, not in real time.
Enforces compliance continuously, not just when the auditor arrives. Every action logged. Every exception flagged. Every deviation traceable.
A retail expansion plan covers 50 new stores. The opening checklist has 200 tasks across 8 departments. At store 10, a project manager holds it together. At store 50, the model breaks — tasks are missed, compliance is inconsistent, and the brand promise degrades location by location.
Executes the opening checklist, enforces compliance standards, and gives the operations team a live view across every location — without adding headcount.
Every enterprise has execution gaps in multiple functions. Hubler closes them through domain-specific orchestration — the same AI agent architecture, applied to the specific workflows, approvals, and data of each domain.
Every orchestration domain is a child of enterprise execution. Every page, every agent, every customer outcome strengthens the same category.
Hubler doesn't sit alongside your ERP or planning system — it sits above them. It reads the plan, governs the execution, coordinates the people, and records the outcome. The loop is continuous. The audit trail is automatic. Nothing is replaced.
A demand signal, purchase schedule, production trigger, or compliance requirement arrives from your planning system, ERP, or directly from an operator.
Hubler checks the plan against budget, policy, supplier availability, and the approval matrix. No human needed unless there is a genuine exception — and genuine exceptions are rare.
Purchase orders are raised. Approvals are routed with SLA timers. GRNs are generated and matched. Invoices are reconciled. Compliance is enforced. Store checklists are executed.
Every action, every approval, every exception is logged with a timestamp and an owner. Your ERP receives clean, verified data. Nothing is re-entered.
Execution data feeds back into your planning system. The loop closes. The next cycle starts with better information than the last.
Works with your existing ERP, planning system, and supplier data — SAP · Oracle · Microsoft Dynamics · Anaplan · NetSuite. Nothing replaced. Live in 4 weeks.
Microsoft Copilot, SAP Joule, Oracle AI, and Agentforce are powerful tools for surfacing information and generating recommendations. They stop at the answer. Hubler starts there.
| AI Copilots | Hubler Execution Layer |
|---|---|
| "Your approval rate is 68% this month." | 32 blocked POs escalated with SLA timer. 14 cleared in 2 hours. |
| "There are 14 GRN exceptions awaiting resolution." | 11 auto-resolved. 3 flagged for human review. All logged. |
| "Supplier X is running 3 days late on average." | Penalty clause triggered. Alternate supplier activated per approved list. |
| "I recommend escalating the overdue approvals." | Already done. Audit trail written to ERP. No human re-entry. |
| Someone still has to act on every one of these. | No one had to act. Hubler executed. |
AI copilots and Hubler are not competitors — they are complements. Copilots surface insight. Hubler executes on it. Many Hubler customers run both.
Post-pandemic supply chain disruption didn't resolve — it became the baseline. Procurement teams that relied on stable supplier relationships now need execution systems that can handle exceptions at scale, every day.
Enterprises are deploying AI copilots that generate more recommendations than ever. Without an execution layer to act on those recommendations, the intelligence compounds and the gap widens. More insight. Same backlog.
Enterprise operations teams are being asked to do more with fewer people. Execution gaps that were absorbed by headcount are now visible on the P&L — and CFOs are asking why.
IFRS 16, procurement audit trails, ESG reporting — all demand a complete, verifiable record of every operational decision. Manual execution cannot produce that record at scale. Audit risk is growing faster than audit teams.
Enterprise execution isn't a theory at Hubler. It is a number — and across our customers, it is consistent.
"Before Hubler, our procurement team spent 88 hours a week on GRN reconciliation and purchase order exceptions. With Hubler's execution layer, 80% of that is now automated — and our finance team closes the books three days faster."
Book a 30-minute session. We will show you the execution loop on a workflow that matches your operations — live, in your stack, with your data.