One governed decision layer over the systems you already run.
ADIP has four jobs. It reads your data where it lives, coordinates a set of purpose-built agents across it, routes the result to a person for approval, and keeps how your company decides so the next recommendation is better than the last.
Your data, made AI-ready where it already lives.
The data orchestration engine reads from your source systems, reconciles the definitions that exist today, and streams each agent exactly what it needs — in the shape it needs, at the moment it needs it. No migration and no new destination.
- Ingestion
- Reconciliation
- Streaming
- Storage
- Governance
- Monitoring
Snowflake, Azure Synapse, AWS Redshift, BigQuery, Cloudera, Delta, Iceberg, a data fabric, or a mix accumulated across acquisitions — ADIP draws from it through standard governed interfaces. Your existing investment stays in place and usually gets more valuable: static stores become live, agent-ready feeds instead of extracts somebody refreshes on a schedule. It also doesn’t wait for a finished master-data program — it starts delivering against the definitions you have and supports that work over time rather than blocking the business until it lands.
Coordinated, not centralized.
Each agent is built for a specific supply chain decision, and none of them works alone. One agent’s answer becomes context for the next, continuously, so what reaches your planner is a single reconciled recommendation rather than four competing ones.
- Purpose-built, not general purpose. Every agent is tied to a specific decision and a measurable financial metric.
- They orchestrate continuously. Demand reaches planning, planning reaches inventory and order promising, without waiting for a meeting.
- They reason on governed data. The demand number in the schedule is the demand number in the promise. Disagreements between agents are about tradeoffs, never about whose data is right.
- Conflicts resolve against your rules. When inventory and service pull against each other, the Judgment Layer decides how the conflict is weighed.
- What triggered it, and when
- The alternatives that were considered
- The constraint that applied
- The expected financial impact of each option
- A ranking, and the tradeoff behind the ranking
Approval-ready — not another alert.
A person approves. Then it writes back.
Routine decisions inside limits you define can run automatically. Everything else arrives in front of the person who owns the call, with the projected outcome attached, while the order can still be re-promised, the shipment re-routed, the buy adjusted.
Your ERP remains the ERP. ADIP does not become a second place where the truth lives.
Nothing acts outside the limits you set
Every deployment defines three things before an agent runs: which decisions may be automated, which must be approved, and what the agent may never do regardless of confidence. Those limits are configuration, not a policy document — the system cannot exceed them.
Every decision is logged with who approved it, when and why, and the log is exportable for audit.
See a write-back in a worked decision What a decision package contains Security and governance in full
The Judgment Layer.
Your best planner knows which customer you protect when two orders compete, which supplier’s lead time to distrust in August, and when the rule gets broken. None of that is in your ERP. It is in people, and it walks out at retirement.
Your Judgment Layer carries your company’s own decision logic — the approvals, the rejections and the reasoning behind them. It is never shared across customers and never used to train a model any other customer touches. Without it, AI is automation. With it, expertise compounds instead of retiring.
First domain live in 8–12 weeks, then at your pace.
- Assessment · 1–2 weeks
- Connect · 2–4 weeks
- First domain · 4–6 weeks
- Write-back · on your signal
- Expansion · your roadmap
Coordination is the product, and every pain point has to be tied to a business outcome before anyone builds anything.Cesar Oliveira, COO — 25+ enterprise ERP go-lives
Start with the decision that hurts most.
One session, your people, your systems. You leave with a scoped first domain and a timeline, not a platform proposal.