- One workflow, one defined issue
- Diagnosis and correction
- Isolated testing
- Corrected export + short notes
01 What we build
Intelligent systems, built like infrastructure.
Runwell designs and engineers the AI and automation systems a business runs on — pipelines, agents, integrations and the runtimes that keep them alive.
02 The problem
Most automation breaks quietly.
- Workflows that were fixed once and have drifted since A change upstream, a renamed field, a silent 200 that used to be a 500.
- Manual steps still sitting inside an “automated” process Someone copies a value every morning so the rest of it can run.
- Fragile automations with no error path When one node fails, the run stops and nobody is told.
- AI systems shipped without control Unbounded cost, no fallback, and actions taken on model confidence alone.
03 What Runwell does
a Diagnose
Root cause from evidence — the payload read at every hop, not guessed.
b Repair
The minimum change, applied on an isolated copy, verified before and after.
c Automate
New pipelines designed from the problem — idempotent, rate-aware, observable.
d Optimize
Guardrails, caching, deterministic fallbacks and a runtime that self-checks.
04 Method
Discover
The system as it actually runs — inputs, edges, the parts nobody documents.
Diagnose
The failure reproduced and traced to a single root cause.
Engineer
The fix or the build, on an isolated copy, with real error paths.
Deploy
Handed back for you to validate and import into your own environment.
Scale
Runtimes, health checks and backups so it survives its author moving on.
05 Example
A broken CRM sync, made reliable.
A form-to-CRM automation had started dropping every third contact. No error, no alert — the run reported success.
// before — double-encoded, silently rejected on retry body: JSON.stringify(JSON.stringify(payload)) // after body: JSON.stringify(payload)
One unnecessary serialization step. Removed, then validated against three cases: nominal, empty body, malformed field.
06 Where this goes
Beyond repair — system design and advisory.
The same discipline applied earlier: designing the automation and AI architecture a team builds on, and staying on to keep it sound as it grows.
In development
07 Engagements
One system. A defined scope.
Fixed price, agreed before any work begins. No hourly billing, no scope drift. Larger builds and advisory are quoted separately.
- One system, full diagnosis
- Root-cause analysis
- Correction + isolated testing
- Test report + written handover
- Corrected export + documentation
- Everything in Workflow Rescue
- Priority queue
- Fastest turnaround technically feasible
- Extra hardening for the identified issue
Multiple systems, ongoing work or a full build — describe it in the brief and we’ll scope it.
08 Questions
Do I need to give you access to my n8n or Make account?
No. The standard engagement works from an exported workflow file and the error context you provide. Direct account access is out of scope.
Do you take calls?
No. Every engagement is handled in writing — it keeps the work traceable and the turnaround fast.
What if you can’t confidently identify the issue?
We tell you before you pay. If the export and error context can’t support a confident diagnosis, we say so and point at what would.
Do you modify production?
Never. All work happens on an isolated copy. You import and validate the corrected system in your own environment.
What do I receive?
A corrected export, a before/after test report, and a short written note explaining the root cause and the change.
Can you build something new, not just repair?
Yes. New pipelines, agents and runtimes are scoped and quoted separately — describe it in the brief.
Automate. Scale. Runwell.
Send the export and the error. Get a diagnosis back.