Falnor makes the work run itself. We take one workflow and drive it end to end across every system it touches - the platforms you bought, your SaaS, and the systems nobody wants to open - until most of it completes with nobody in the middle. One agreed price. No usage meter.
46%
name integration with existing systems as their single biggest agent challenge
50%
of enterprise agents run in isolation with no cross-system coordination
The automation is already bought. It sits in the CRM, the service desk, the ERP suite, and three platforms that don't speak to each other. Each one finishes its own slice and hands the awkward part back to a person, so the work restarts at a human every few steps. That is why the hours never come back.
Falnor is the layer above all of it: one workflow, driven from intake to closed outcome across whatever it has to cross - and measured on how much of it now runs with nobody in the middle.
LangChain · Belitsoft · OutSystems · MIT NANDA · Aissist, 2025-2026
12%
have a central way to manage the agents they have already bought
65%
median share of work agents close end to end, against 80%+ for top-quartile deployments
Not suggestions, drafts, or summaries a person still has to action. A closed item: the record updated, the customer answered, the exception cleared, the next system told. Here is what that looks like in the operations we run.
The failed record gets pulled, checked against the source system, corrected, reposted, and the owning team is told what changed - reading across ERP, the data warehouse, and the shared inbox in one pass instead of one person's morning.
Intake from email, portal, or EDI is classified, the missing evidence is gathered from whichever systems hold it, your policy is applied, and the case is either resolved outright or routed to the one named person who should have it.
Your existing service tooling drafts the answer. Falnor supplies the arms and legs: check entitlement, apply the credit, update the order, close the loop in the CRM - so the ticket ends instead of becoming somebody's task.
The order lands in one system, pricing lives in another, stock in a third, and the customer waits while a human reconciles all three. The whole sequence runs itself, and only the orders that genuinely need a call reach a person.
The seams where work stalls are industry-specific: an insurer's exception is not a lender's, and neither is a carrier's. We build against your cases, not a demo dataset - so your edges get handled rather than the average of everyone's.
Insurance and claims
FNOL intake, document chase, claims triage, and subrogation exceptions across policy admin and the shared mailbox.
Financial services and lending
Reconciliations, onboarding evidence collection, servicing exceptions, and case handling across core banking and CRM.
Logistics and supply chain
Shipment exceptions, delivery discrepancies, invoice and rate mismatches across TMS, ERP, and carrier portals.
Healthcare operations
Eligibility checks, prior-authorisation follow-up, and billing rejections handled inside your existing systems of record.
Manufacturing and field service
Work-order triage, parts and warranty exceptions, and supplier chasing across ERP, service desk, and email.
Software and technology operations
Provisioning, entitlement and billing exceptions, and support resolution across CRM, service desk, and cloud accounts.
If your operation isn't listed, the question we ask is the same: which workflow crosses the most systems and costs your best people the most time?
Worth knowing before you decide to build it yourself: in MIT's 2025 study, work built with a specialist partner succeeded about 67% of the time, roughly three times the rate of internal-only builds - and the largest measured returns sat in back-office operations, where barely half the budget goes.
MIT NANDA, The GenAI Divide, 2025
Most providers configure one platform and leave. We orchestrate across all of them - your vendor tooling, your systems of record, and the manual steps in between - until the workflow closes itself.
NetSuite postings, Salesforce records, ServiceNow tickets, Zendesk queues, plus whatever your vendors already ship - one run crossing all of them, with your permissions respected and every action logged.
Your people approve anything important. Nothing irreversible happens without a human. Rollback tested, with a rehearsed undo path for every action.
We build against your real cases and your team's language, so the exceptions specific to your operation get handled instead of the average of everyone else's.
Start with the workflow that costs you most. Every connector we build carries into the next one, so the second workflow lands faster than the first.
Vendors ship changes without warning. We monitor the workflow, re-check it against your cases when the tools underneath move, and explain incidents in writing within 24 hours.
The only number that matters is the share of in-scope work that finishes end to end with nobody touching it. We agree the target with your team at discovery, measure it on your real cases before go-live, and report it against the manual baseline every month after.
Published benchmarks put the median at roughly 65% of work closed end to end, with top-quartile deployments above 80%. The gap is set by system access, not by the model. (Aissist AI Resolution Benchmarks, 2026)
Targets scoped to your workflow at discovery
Completed without a person
Typically 70-85%
Share of in-scope items finished end to end with no human touch. A target range we scope to your workflow, not a promise made before we've seen it.
Pass rate before launch
90%+ floor
Measured on your real historical cases before go-live. If it does not pass, it does not launch.
Correct handoff
95%+ target
The remainder reaches the right named owner with the context already gathered. Handoffs are tested as first-class cases, not an afterthought.
Systems touched per run
3-6 typical
How many systems one item has to cross before it is closed. This is where the work actually is, and it is what any single-platform tool cannot reach.
Actual results depend on workflow complexity, data quality, and how much access the surrounding systems allow. We scope realistic targets at discovery.
Built-in, not prompt suggestions
No half-finished writes
Every irreversible write is a checkpoint, with a rehearsed undo if a step fails mid-sequence
Your people approve above threshold
Approval steps are hard checkpoints the model cannot skip, set at values your team chooses
Every action logged
Every tool call and decision recorded in your environment, across every system the run touched
Every platform you bought is an input, not a competitor. Salesforce, ServiceNow, Microsoft, the in-house build, the point tool a team expensed last quarter - each does a slice and stops. Falnor sequences them into one run that ends in a completed outcome instead of a person's to-do list.
Cross-platform by default
Any vendor, any system, any interface
We drive work across vendor platforms, SaaS APIs, RPA that already works, and legacy systems with no API at all. If it holds part of the job, it becomes part of the run - no rip-and-replace, no migration project.
Bespoke to your industry
Your cases, your language, your exceptions
MIT put the 95% failure rate down to generic tools that never adapt to a specific workflow, not to weak models. A claims exception, a freight exception, and a billing exception are not the same problem with different nouns - so we build against your real cases and your team's vocabulary.
Built to survive real work
Safe by design
Your people approve anything important. Nothing irreversible happens without a human. And if something goes wrong mid-task, there's a rehearsed way to undo it.
Won't quietly break next month
Checked on every update
The models, vendor releases, and APIs underneath change constantly, and a silent update can change results with no warning. We re-check the workflow against your own cases whenever that happens - and tell you the result in writing.
Clear handoff, and we'll help you leave
No lock-in, exit pack as policy
You get the workflow, the connections, and a plain runbook your team can follow - plus a full exit pack if you ever bring it in-house. We keep clients with results, not lock-in.
The average enterprise now runs about twelve automations, and half operate in isolation with no cross-system coordination. Buying a thirteenth does not close the gap - joining the work across the twelve does.
Every tool did its job. The work still stopped.
The service tool drafts the reply but cannot post the credit. The finance copilot spots the mismatch but cannot fix the record. The last mile lands on a person with four tabs open, every single time.
You pay three times: the platform fees, the manual last mile, and the cycle time you lose in between.
We make the tools you already own hand the work to each other - and we stay accountable for the outcome at the end.
Book a discovery callOne workflow live at a time, in your industry's vocabulary - and every connector we build makes the next workflow faster instead of starting over.
We stay above your stack rather than inside it: whatever agent platform, SaaS, or legacy system holds part of the workflow becomes part of the workflow - and stays swappable.
Finance and ERP actions in your tenant
CRM records and approval chains
Ticket routing and escalations
Runbook and handoff your team keeps
Support queue enrichment
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Operational data and postings
Pass/fail on 50+ of your real cases before go-live
Checked on your real cases before go-live - and again whenever a vendor changes something underneath
Tell us which workflow crosses the most systems and costs your team the most hours. We'll tell you what it takes to make it finish itself.
