Service 03 — Custom Automation

When off-the-shelf breaks down, build the system your workflow actually needs

When off-the-shelf tools can't handle your workflow, we build custom automation — APIs, data pipelines, internal tools — that fits how your business actually works. Built for small businesses with proprietary logic, missing connectors, or workflows that have outgrown no-code tools.

Concrete outputs
Custom code or internal tool · Tests and operating notes · Documented handoff
Best for
Proprietary logic, missing APIs, complex data movement, and maintainability requirements.
This page commits to showing
Named deliverables, the inputs they require, where a person approves, and what happens when a step cannot complete.

01 — The problem in your words

No performance theater. Start with the recurring operating friction your team can point to.

When this service earns a closer look

  • “The connector supports the easy path but not our real business rules.”
  • “Our data moves through exports and one-off scripts nobody owns.”
  • “A full replacement would be riskier than wrapping what still works.”

02 — What we build

Teal marks a point where a person is in the loop. Amber marks the exception path.

The work, specified before it is promised

These are representative modules. The exact systems, access, volume, support, and commercial terms are scoped in discovery.

Module 01 · Delivery contract

API glue and webhooks

Human review defined
Outcome
Move validated events between systems when a standard connector does not support the required logic.
Trigger / cadence
A documented event, webhook, scheduled poll, or approved manual action.
Client inputs
API documentation, credentials, event rules, data mappings, volume assumptions, and exception owner.
Tools
APIs, webhooks, queues where appropriate, and maintainable custom code in the agreed stack.
Concrete outputs
Integration code, configuration, tests, deployment notes, event log design, and runbook.
Review gate
Your team approves the event map, sample payloads, and production access before live writes.
Guardrails
Writes validate required fields and permissions; destructive actions require an explicit approval or separately agreed safe rule.
If it fails
Stop the affected transaction, retain the source payload where permitted, and route a diagnostic record to the named owner.

Module 02 · Delivery contract

ETL and database automation

Human review defined
Outcome
Move and transform agreed data into a stable destination with validation and recovery behavior.
Trigger / cadence
Scheduled batch, approved on-demand run, or a documented source event.
Client inputs
Source schemas, destination schema, transformation rules, retention limits, and reconciliation examples.
Tools
Databases, storage, APIs, transformation code, tests, and job orchestration suited to the environment.
Concrete outputs
Pipeline code, dry-run mode, reconciliation report, tests, rollback procedure, and operating documentation.
Review gate
A process owner approves sample transformations and reconciliation results before production scheduling.
Guardrails
Destructive jobs begin in dry-run mode; production mutations use scoped permissions and a tested rollback or recovery path where technically possible.
If it fails
Abort or isolate the failed batch, preserve diagnostic context, and prevent partial data from being treated as complete.

Module 03 · Delivery contract

Internal tool or legacy bridge

Human review defined
Outcome
Give the team a focused interface or bridge around an existing process without forcing a wholesale rewrite.
Trigger / cadence
A user action, system event, or scheduled sync defined in the operating design.
Client inputs
User roles, tasks, existing-system constraints, data rules, and representative workflows.
Tools
A maintainable web stack, existing APIs or database boundaries, and the client's deployment environment.
Concrete outputs
Working tool or bridge, access rules, tests, deployment notes, documentation, and training.
Review gate
Representative users approve the task flow and acceptance tests before broad access.
Guardrails
The new layer wraps stable legacy behavior; it does not rewrite protected or poorly understood systems without an approved migration plan.
If it fails
Keep the existing system of record authoritative and provide a recoverable manual path for the affected task.

Module 04 · Delivery contract

Platform migrations and rebuilds

Human review defined
Outcome
Your existing automations moved to a platform that fits your volume, cost, and control needs — or rebuilt cleanly when the original is undocumented and fragile.
Trigger / cadence
Platform costs outgrew the value, a tool is being retired, workflows have become an undocumented tangle, or you need to consolidate from several tools onto one.
Client inputs
Access to the current workflows, a list of what each one is believed to do, tolerance for cutover windows, and the constraint driving the move (cost, control, features, or risk).
Tools
Zapier, Make, n8n, or custom code as the migration target — chosen from your constraint, not a platform allegiance. Discovery includes an inventory of what the old system actually does versus what anyone thought it did.
Concrete outputs
A workflow-by-workflow migration map, the rebuilt automations, a parallel-run verification report comparing old and new outputs, cutover and rollback runbooks, and documentation of the final state.
Review gate
You approve the migration map before any rebuild starts, and the parallel-run report before each cutover.
Guardrails
Old workflows are never deleted during migration — both systems run in parallel until the comparison report shows the new build matches or intentionally improves on the old behavior, and you sign off on every intentional difference.
If it fails
If a migrated workflow misbehaves after cutover, the runbook rolls that workflow back to the old platform while we fix the rebuild — one workflow at a time, never an all-or-nothing switch.

Operating principles

  • Human review gates
  • Documented handoff
  • Failure paths defined up front

03 — How it works

Every stage exits with an artifact or an approval, not a vague promise that implementation is “in progress.”

From process map to documented handoff

  1. Map

    Document proprietary rules, system boundaries, volumes, permissions, and failure cost.

  2. Design

    Decide build-versus-buy boundaries and define interfaces, tests, and recovery.

  3. Build

    Implement the smallest maintainable system that covers the approved contract.

  4. Train

    Train users and administrators on normal operation, exceptions, and changes.

  5. Handoff

    Deliver agreed code access, tests, deployment notes, and a runbook.

04 — Fit check

A good-fit project has stable enough inputs, rules, ownership, and access to test honestly.

A useful boundary before scope

Good fit

  • Off-the-shelf automation cannot express a stable business rule.
  • The workflow and system boundaries can be documented.
  • The business can assign an owner for acceptance and future changes.

Not a fit yet

  • A standard connector already solves the job safely.
  • The request is a full product with no defined first operating slice.
  • The business cannot provide access, examples, or an acceptance owner.

05 — Engagement & pricing

Pilot, build, and ongoing-support shapes are not presented as fixed offers until the workflow boundary and owner decisions are known.

Scoped in discovery

Discovery defines

  • Systems, volume, branches, and data sensitivity
  • Approval and exception owners
  • Testing, handoff, and access requirements
  • Monitoring and post-handoff support boundary

Then you receive

A proposed scope with deliverables, dependencies, exclusions, acceptance conditions, commercial terms, and the responsibilities on each side.

No price is implied above this line

Start the discovery conversation

06 — Questions

Answers stay inside the terms that can be supported before discovery.

Questions to resolve before a build

How do we decide whether to build or buy?

We compare the required rules, connectors, privacy, scale, maintenance, and total operating burden against available products. Custom code should earn its complexity; if a standard tool safely fits, that is usually the better route.

Who maintains the system after handoff?

Maintenance, monitoring, and support ownership are scoped in discovery. The build includes agreed documentation and tests, but this page does not promise an ongoing support window before terms are defined.

How long does a custom build take?

Timeline depends on interfaces, access, data quality, acceptance tests, and deployment constraints. Discovery defines a smallest useful release and the dependencies that can change the schedule.

Who owns the code and intellectual property?

Ownership, repository access, third-party licenses, and reusable background components are defined in the contract. We do not imply legal ownership terms before that agreement exists.

How much does custom automation cost?

Pricing is scoped in discovery after system boundaries, integrations, tests, deployment, documentation, and support expectations are known.

07 — Related routes

Use the service hub when the workflow crosses more than one boundary.

Compare the other services

  • Service 01

    Workflow Automation

    Connect the tools you already use so repeatable work moves forward without copy-paste handoffs.

    Best for: Rules-led processes that cross two or more SaaS tools.

    • Connected workflows
    • Exception queues
    • Runbook and handoff

    Review this service

  • Service 02

    AI Integration

    Add AI to unstructured work while keeping people in control of consequential decisions.

    Best for: Support, document, knowledge, and content workflows where language or judgment is central.

    • AI-assisted workflow
    • Review queues
    • Evaluation and operating notes

    Review this service

  • Service 04

    Automated Reporting

    Turn scattered operational data into defined dashboards, scheduled reports, and reviewable alerts.

    Best for: Owners and operations teams who repeatedly assemble the same numbers from multiple sources.

    • Dashboard or scheduled report
    • Metric definitions
    • Validation and alert rules

    Review this service

Bring the real workflow, including the exceptions.

The useful discovery conversation starts with what enters, who decides, which tools are involved, and what cannot be allowed to fail silently.