ReconBridge · B2B SaaS · Python + React
ReconBridge — CRM↔ERP Reconciliation Agents
Your integrations move data. Nothing proves it arrived right.
The average enterprise runs 897 applications and has 29% of them integrated; only 2% have more than half connected (MuleSoft, 2025). Gartner puts the average cost of poor data quality at $12.9M a year. Every iPaaS on the market moves records between systems — none of them proves the two systems still agree afterwards, which is why finance finds the $40k order that never made it to the ERP in month-end instead of on Tuesday. ReconBridge is that missing verification layer: agents continuously match customers, orders and invoices across a CRM/ERP pair, detect field-level drift, propose the fix with the reasoning attached, and log every detection, approval and writeback in a hash-chained evidence trail. Deliberately supervised, not autonomous — Gartner expects over 40% of agentic AI projects to be cancelled by end-2027, and unsupervised writes into a general ledger are how that happens.
Built for: Ops, RevOps and finance teams at $20M–$500M companies running a cloud CRM against NetSuite, Intacct, Dynamics or a legacy on-prem ERP
- Continuous match of accounts, orders and invoices across a CRM/ERP pair
- Field-level drift detection with a per-field source-of-truth matrix you set
- Exception queue: agent proposes the fix and the reasoning, a human approves it
- Hash-chained evidence log — every detection, approval and writeback, exportable
- Daily integrity report: match rate, open drift, dollars at risk
- Deterministic matching first — fuzzy pairs escalate to semantic adjudication, not the reverse
- Read-only mode until you turn writeback on, per field
Founding-pilot plans
Pilot
$1,950/mo
One system pair, one team.
- One CRM↔ERP pair
- Up to 250k records under watch
- Drift detection + exception queue
- Daily integrity report
Founding-pilot plan — one company, cancel anytime.
Growth
$4,900/mo
Three pairs and the exception agents.
- Everything in Pilot
- Up to 3 pairs, 1M records
- Resolution agents with approval gates
- Evidence export + priority support
One company, higher volume — cancel anytime.
Scale
$9,800/mo
Unlimited pairs, multi-entity.
- Everything in Growth
- Unlimited pairs, multi-entity
- SSO + evidence API
- Onboarding and a named contact
Multi-entity / enterprise terms — annual or monthly.
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Questions
How is this different from Celigo, Workato or Boomi?
They move the data; we check the work. An iPaaS fires when a record changes and reports whether its own job succeeded — it has no opinion about whether your CRM and your ERP currently agree. ReconBridge sits beside whatever you already use, reads both systems, and continuously answers that question at the record and field level. Most customers would keep their existing integrations and add this on top; if a sync is silently dropping 3% of orders, we're the thing that tells you.
Will it change data in my ERP?
Only when you let it, field by field, and only after a human approves that specific exception. It ships read-only. Autonomous writeback is the failure mode that gets these projects cancelled, so it isn't the default and it never applies to a field you haven't explicitly opened.
What exactly do I get on day one?
A founding-pilot engagement, not a self-serve login. The software is built and running: five agents, the exception queue, the evidence log, the whole dashboard. What we do together in week one is wire it to your actual systems — that is a working session with us, not a signup form. You tell us your CRM/ERP pair when you check out and we come to that session having read your schema. If we can't make your pair work, we cancel you and refund the month; the plans are month-to-month with no minimum for exactly that reason.
Which systems do you support?
Salesforce and HubSpot on the CRM side, NetSuite on the ERP side, plus a CSV path that works with anything. Straight answer on maturity: the CSV path is the one we've run end to end, and the Salesforce and NetSuite connectors are written to their documented APIs but have not yet run against a live tenant — the founding pilots are where that happens, with us doing the work. That is the honest reason these are priced as pilots and not as a finished product, and it's why we're taking a small number of them.
How do you avoid drowning me in false positives?
Two ways, and one caveat. Deterministic identity keys resolve the overwhelming majority of records before anything fuzzy runs, and only genuinely ambiguous pairs get escalated — below a confidence threshold nothing is linked at all, it goes to a human with the near-miss attached. The caveat: your two systems almost certainly use different vocabularies for the same thing, and "Closed Won" versus "Billed" would otherwise flag every order you have. Mapping those is part of onboarding, and it is the first thing we do.
Was this scoped by AI?
Yes, and here's exactly how, because it matters. Six research agents worked one domain each against a strict evidence rule: every demand claim had to come from an analyst report, a vendor's own pricing page, a dated funding round, public earnings, a named survey or a regulatory text — no forum posts, no vibes. That produced 41 candidates scored on demand evidence, contract value, how verifiable the gap was, buildability and defensibility; this one ranked first, and it's the first of the ten we actually built. What that does NOT mean: that anyone has paid for it yet, or that we've run it against your stack. The research says the problem is real and expensive. Only a pilot says the product works.
