AI agents that watch your line-of-business applications for missed revenue
Jian for Applications monitors the feeds, clearinghouses, and billing pipelines inside your business applications. Your RMM watches servers, while your SIEM watches security. Neither can see a claims feed quietly freeze or a batch of records that never reached the payer. Jian watches that application data flow and tells you the moment money stops moving.
Generic monitoring stops at the application's front door
A sync job can exit "success" and copy zero rows. Records added after a batch is sent can sit there, billed but never transmitted. None of it trips an infrastructure alert, because nothing there is technically broken.
The blind spot
- A sync job reports success while copying zero rows — the dashboard stays green for months.
- Records added after a batch is sent are never transmitted — billed, never paid.
- Rejections pile up in a queue no alert is watching.
- The one person who understood the whole pipeline has moved on.
The fix
- Reads your application's own tables, queues, and APIs — not just CPU and disk.
- Knows what "healthy" looks like for your app, and what a revenue leak looks like.
- Traces any record from source to destination and produces the exact fix worklist.
- Documents the tribal knowledge so it never walks out the door again.
Watch → Worklist → (optional) Operate
Every engagement starts read-only. What happens after Jian finds something is your call.
Watch
Read-only agents poll your application's data flow on a tight cadence, detecting freezes, leaks, and failures the moment they happen.
Worklist
Every finding becomes a branded alert plus a precise, grouped worklist your team can act on — never just "something's wrong."
Operate
Optionally, Technijian's engineers operate, fix, and modernize the application itself — the work a development team used to do.
The failure modes generic monitoring can't see
Every engagement inherits your application's own failure modes and watches each one continuously. This is the shape a claims or billing platform typically needs watched.
| Failure mode | Category | How Jian detects it |
|---|---|---|
| Feed freeze — the app silently goes stale | Revenue | Compares source and destination recency — flags the moment downstream data stops updating. |
| Batching leak — lines billed but never sent | Revenue | Scans for unbatched or unsent records and cross-checks them against what was actually billed. |
| Rejections aging — unworked denials pile up | Reliability | Groups rejections into the exact fix bucket — payer, missing field, member ID — instead of one long queue. |
| Sync or EDI paused — a clearinghouse gap | Reliability | Watches sync-run and submission recency plus API health, so a paused integration is caught in minutes, not months. |
Read-only and alert-only
Jian watches and traces; it never auto-resubmits a transaction or changes a billing record. The judgment call stays human — a duplicate is real money.
Built on the MCP pattern
Each agent follows the same SP → API → MCP reference architecture already running in production today.
Same engine, your logic
Technijian teaches Jian's proven monitor-triage-alert engine the specifics of your application instead of building from a blank page.
Never a silent failure, never a vague alarm
Findings arrive where your team already works, with the worklist attached — not just the symptom.
Jian routes branded, throttled alerts to the right owner, with the worklist attached.
Microsoft Teams
Each issue has a channel with the @Jian bot. Status and comments stay in the thread, where the bot answers self-service questions directly.
Client Portal
Each finding gets one ticket, with assignment based on the working shift and automatic time entries for the work.
Every engagement includes
Proven inside a real revenue cycle
We report this real outcome anonymously, without a client name or a dollar figure tied to a single account.
A mid-market DMEPOS billing operation, watched end to end
This operation builds, transmits, accepts, and posts claims across two separate payer worlds: commercial/Medicare and state workers'-compensation. Each uses a different clearinghouse integration.
When the developer who understood that pipeline moved on, Technijian took over monitoring the platform's data flow. Three Jian agents now watch it: one monitors the sync between the system of record and the claims-management application; another monitors the commercial/Medicare submission cycle; and the third checks the workers'-compensation e-billing integration.
What the agents found
The agents found a data feed that had silently frozen for months while the application kept reporting healthy. That gap stalled claims without triggering an infrastructure alert. They also found service lines that the system had billed but never transmitted to the payer. Jian now surfaces that batching leak as a ready-to-resubmit worklist.
What changed
Jian now groups the previously unmonitored backlog of rejected claims by the exact fix. As a result, the billing team can work in batches instead of handling one ticket at a time. Three agents monitor the revenue cycle and provide worklists for the freezes, leaks, and rejections covered by their checks.
Develop once, watch every month
Two parts, always: a one-time build to teach Jian your application, then a low monthly subscription to keep watching it. Three tiers by complexity — pick the depth your application needs.
| Tier | For | Build (one-time) | Monthly Watch | Annual | Includes |
|---|---|---|---|---|---|
| Essential | A single feed, job, or data source | $6,000 | $249/mo | $2,490/yr | Health, recency & threshold detection; branded alerts + monthly report |
| Professional★ Most Apps Start Here | A full line-of-business application | $15,000 | $499/mo | $4,990/yr | Everything in Essential, plus multi-source business-logic detection and full-chain record tracing with ready-to-act worklists |
| Platform | Deep, multi-system revenue flow | $30,000 | $899/mo | $8,990/yr | Everything in Professional, plus full SP → API → MCP integration and multi-system correlation |
How the tiers scale
Annual prepay saves two months. Bundling 3 or more agents on one application saves 15% off the combined monthly rate, and $499/mo is the minimum monthly engagement. Enterprise — a full portfolio of applications — is scoped individually. If you also want Technijian to operate, fix, and modernize the application itself, that's available separately as a Managed Operations retainer starting from $2,500/mo.
Start with a free 2-week pilot
Technijian watches one data source, read-only, for two weeks — then quotes the build and the tier. No build fee until you've seen it catch something.
Questions we hear before the pilot starts
How is this different from a general RPA or workflow-automation tool?
RPA and workflow tools automate a process from the outside; Jian for Applications watches one from the inside — reading your application's own tables, queues, and APIs to catch a feed that silently freezes or a batch that never transmitted. It's read-only and alert-only by design, not a bot clicking through screens or moving data on its own.
What line-of-business applications can this actually watch — does it need a modern API, or can it work with a legacy system?
Any revenue-critical application Jian can read from — claims platforms, EDI/clearinghouse integrations, billing pipelines, and custom sync jobs are the most common. A modern REST API makes the build faster, but agents are built on the same SP → API → MCP reference pattern already running in production, so a legacy system with direct database access is workable too — it's scoped case by case in the pilot.
We already have an RMM and a SIEM watching our infrastructure — why do we need this too?
An RMM and a SIEM watch servers, endpoints, and security events — neither one can see whether a specific claim, sync job, or invoice actually moved through your application correctly. A job can exit "success" and copy zero rows, or a batch can quietly stop transmitting records to a payer, and infrastructure monitoring will never catch it, because nothing there is technically broken.
What does "read-only and alert-only" actually mean — will it ever touch our production data?
Jian never auto-resubmits a transaction, changes a billing record, or writes back into your application — it watches, traces, and produces a worklist, and a person on your team makes the call. That boundary is deliberate: a duplicate claim or a wrong auto-fix is real money, so the judgment stays human.
How long does it take to stand up an agent, and what does the engagement look like?
Most engagements start with a free, read-only two-week pilot on a single data source, so you see what the agent catches before any build fee is quoted. From there, a build is scoped in days and the agent is watching in weeks — the monitor-triage-alert engine is already proven, so the work is teaching it your application's logic, not building it from a blank page.
What's the difference between the Essential, Professional, and Platform tiers?
Essential covers a single feed, job, or data source. Professional — where most applications land — covers a full line-of-business application with multi-source business-logic detection and record tracing. Platform is for deep, multi-system revenue flows needing full integration and cross-system correlation. Each tier pairs a one-time build with a monthly subscription to keep watching.
Do we need our own developer to maintain this once it's built?
No — Technijian builds and maintains the agent as part of the monthly subscription, and every engagement includes a living failure-modes and maintenance handbook for your application so the knowledge doesn't live in one person's head. If you also want the underlying application operated, fixed, or modernized, that's available separately as a Managed Operations retainer.
How does Jian actually tell us something's wrong — do we have to watch a dashboard?
No dashboard-watching required — findings arrive as a branded email alert, a ticket in the Client Portal, and a message in a dedicated Microsoft Teams channel, each with the specific worklist attached, not just a generic "something's wrong." Alerts are throttled and routed to the right owner so one failure doesn't page five people at once.
Have a revenue-critical application no one is watching?
From a single feed watchdog to a full platform — scoped in days, watching in weeks.