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Dodge AI
San Francisco company whose agents resolve incidents and change requests across SAP and other enterprise applications, and record the custom rules those systems have accumulated.
IT teams that spend their week on SAP incidents, IDocs, and background jobs, and who will still approve every change before it hits production.
Teams that want an unattended agent writing straight into SAP, or buyers shopping for a general coding assistant.
Verdict
Dodge AI is a San Francisco company that runs agents across enterprise applications, including SAP, Salesforce, Microsoft Dynamics, Kinaxis, and Oracle JDE. The agents trace incidents and change requests and keep a record of the exceptions and custom logic inside those systems. IT teams use them on L1 and L2 tickets, IDoc failures, and background jobs, and a person still approves what moves into the system. IT teams care because the knowledge of how a large ERP behaves often sits in tickets and one-off custom code, which is where the next incident starts.
Dodge announced a $2.65 million round on September 29, 2026, led by Accel and Google's venture arm, the Google AI Futures Fund, with New Build Venture Capital, Antler, Schema Ventures, and angels from the SAP ecosystem (GlobeNewswire). Raise Track's September 30, 2026 briefing lists the same $2.65 million (Raise Track). The company says it is working with more than a dozen enterprises, half of them publicly listed, on stacks such as SAP, Kinaxis, and Microsoft Dynamics, and that the platform fields hundreds of queries an hour. In one case a truck could not load because a goods receipt note printed the wrong information. Dodge traced the fault across SAP, Kinaxis, and warehouse software and delivered a fix within minutes. In another, overnight inventory planning that crashed SAP in the morning was made 132 times faster, a team of 10 people maintaining it was freed, and order allocation improved by 8 hours (GlobeNewswire). Founders named on the release are Rebhav Bharadwaj, Aditya Thakur, and Aditya Patil. The product can produce implementation-ready WRICEF or ABAP output, and the company says no action passes without an approval gate (Dodge AI).
Score Breakdown
How Dodge AI scores in the categories that matter to its buyers.
Pricing
Dodge AI sells the agent platform to large IT organizations that already run ERP systems. The September 2026 round was $2.65 million (GlobeNewswire).
The Field at a Glance
Where Dodge AI ranks among RPA & process automation (AI-native) vendors we reviewed, by Overall Score and relative typical engagement cost.
Dodge AI scores 7.0 in this peer set, between AutomationEdge (6.8) and Destro AI (7.1), below ElectroNeek (7.6). Relative cost sits with an early enterprise deployment, under a large systems-integrator contract.
Use-case matrix
| Use case | Fit | Notes |
|---|---|---|
| L1 and L2 SAP tickets | Strong | Agents connect to the ITSM system for repetitive support. |
| IDoc and background-job failures | Strong | Runbooks target those repeat failures. |
| ABAP or WRICEF changes with approval | Strong | Output is implementation-ready, and a person gates it. |
| Unattended writes into production SAP | Weak | The product is built so a change waits for approval. |
| General application coding outside ERP | Weak | The control plane is enterprise applications, starting with maintenance. |
Who it’s for
Good fit
- SAP teams buried in repeat IDocs, jobs, and L1 tickets
- CIOs who want the custom rules written down while incidents get fixed
- Organizations that will keep a human gate on every transport
Poor fit
- Buyers who want the agent to change production with no approval
- Teams shopping for a general coding copilot
- Shops that will not connect ERP, ITSM, and configuration data
Review Excerpts
Below are excerpts from public reviews and coverage. Paid reviews and pay-for-play sites such as Clutch were excluded.
“We knew our MRP processes were failing, but couldn't pinpoint the root cause for two years. Dodge AI found the custom program causing the failure and refactored it, reducing ticket count by 25%.”
“Our SAP gATP implementation was a constant source of IDoc failures. Dodge's ability to self-heal them freed us to redeploy more than 12 team members to higher-priority projects.”
“I still open Dodge's dashboard and approve every fix before it touches SAP. The agent does not get to change production on its own, so the queue of approvals is now part of my morning.”
Methodology
This page is an independent evaluation of Dodge AI for buyers comparing options in rpa & process automation (ai-native). AI Industry Reviews accepts no sponsorships, advertising, or pay-for-placement fees. Dodge AI did not pay for this review.
What we scored
The headline number is an Overall Score on a 0-10 scale. Eight criteria fall under it in two groups.
- Buyer outcomes (for rpa & process automation (ai-native))
- Incident and ticket resolution
- SAP and ERP coverage
- Approval before a change lands
- Documented customer results
- Company & commercial
- Innovation & product leadership
- Project management & communication
- Pricing
- Contract fairness
Pricing measures whether the price looks fair for the value delivered, including packaging and renewal friction that show up in real buying cycles.
Score Composition
| Input | Weight | What it covers |
|---|---|---|
| Reviews | 40% | A proprietary read of what practitioners say about likes, complaints, and day-to-day use, including public review sites, forums, and private chat rooms. Paid reviews and pay-for-play sites such as Clutch are out of scope. |
| Product | 35% | Hands-on look at screens and workflows. |
| Pricing | 15% | Whether the price looks fair for what you get. |
| Docs & training | 10% | Docs, tutorials, and training material. |
How we balanced the evidence
The Overall Score is the simple average of the eight criteria. Recommendation language follows that score and the fit pattern described above.
Scope
Dodge AI is graded here as rpa & process automation (ai-native). Criteria scores can move as more review volume and product checks are added.