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Control Loop

INTELLIGENCE

Deterministic work deserves a deterministic tool.

A bot repeats an exact sequence of screen actions on a system that never got a real API to call instead. That makes RPA the right tool for a narrow set of problems and the wrong tool for most of what your last vendor sold it for. We build the bots that belong, and rationalize the estate of ones that don't.

THE PROBLEM

The bot estate that got away from everyone.

RPA has a well-earned reputation problem. It's usually not the technology. It's what happens after year one:

  1. The estate has grown past the point anyone can say how many bots are actually running, what they touch, or who owns them.
  2. Bots break every time a vendor changes a screen layout, and nobody notices until the queue backs up and a person asks where the output went.
  3. The automation team now spends more time firefighting existing bots than building anything new. The CoE became a maintenance desk.
  4. Attended bots multiplied because nobody ever drew the line between 'automate this with a bot' and 'this system already has an API, use that instead.'

WHAT WE BUILD

Automation, and the discipline to keep it small on purpose.

Process mining & candidate selection

Quantifying which processes actually justify a bot versus an API integration versus an agent, before a single workflow is recorded, so we don't automate the wrong 80%.

Unattended bot development

Headless automations for scoped, stable, rules-based processes that run on a schedule or a trigger with no person watching.

Attended bot development

Human-triggered assistants embedded in a worker's desktop for the parts of a process that still need a person present and deciding.

Estate rationalization & migration

Auditing an existing UiPath, Automation Anywhere, or Blue Prism estate; retiring redundant or dead bots; replacing brittle ones with an API integration where one now exists; migrating platforms when licensing or vendor support forces the issue.

Exception handling & monitoring

Queue-based exception routing and alerting so a failure surfaces in hours, not the week it takes someone to notice a backlog.

Governance & bot lifecycle

A bot registry with a named owner and criticality rating per bot, and a change-control process tied to the source application's own release notes.

HOW WE ENGAGE

Five phases. The first one tells you what you actually have.

  1. 2–3 weeks

    Estate Audit

    • Bot Inventory & Risk Ranking: a maintenance backlog ranked by business risk
    • An "API-first, RPA-second, agent-third" recommendation per process
  2. 2–4 weeks

    Process Design

    Process Definition Document (PDD), an exception matrix, and an ROI model per candidate process

  3. 3–8 weeks per process, parallelizable

    Build

    The bot itself, test evidence against the exception matrix, and a runbook

  4. 2–4 weeks

    Hypercare

    Daily exception review and a stabilization log covering the bot's first weeks live

  5. ongoing

    Operate & Rationalize

    A quarterly estate health review with a standing retirement/migration recommendation, not just new-bot proposals

TECHNOLOGY

We work across the estate you already have.

Platforms
UiPath, Automation Anywhere, Blue Prism, and Microsoft Power Automate Desktop. We don't push a house platform; we work in whichever one already runs your estate, and advise on migration only when the numbers support it.
Open-source path
Robocorp / Robot Framework where a client wants to reduce licensing exposure on new, lower-criticality automations.
Document/OCR layer
ABBYY, Azure AI Document Intelligence, and AWS Textract for the document-reading half of most attended and unattended workflows.
API-first alternative
MuleSoft, Workato, and n8n for the processes that turn out to have a real API waiting. That's our default recommendation whenever one exists.
Orchestration & monitoring
UiPath Orchestrator, Automation Anywhere Control Room, and integration into the client's existing observability stack (Splunk, Datadog) for bot-health dashboards rather than a siloed second monitoring system.

GOVERNANCE & RISK

A bot with production credentials is a production system.

  • Credential vaulting through CyberArk or the platform's native vault. Never a credential hardcoded into a workflow.
  • Least-privilege service accounts, scoped to exactly what each bot needs and nothing else.
  • Action-level audit logs: every click, keystroke, and field entry a bot performs is recorded and queryable by incident.
  • Change control tied to the target application's release cycle, so a vendor UI update triggers a bot regression check before it triggers a bot failure.
  • Segregation of duties preserved for finance, payroll, and HR bots. A bot inherits the same controls the human process it replaced was required to have.
  • A documented business-continuity plan for bot failure, including a manual fallback procedure the business already knows how to run.
  • Licensing compliance review as part of every estate audit. Unused or duplicate licenses are a governance finding, not just a cost line.

QUESTIONS

What clients ask before we touch the estate.

RELATED SERVICES

RPA rarely travels alone.

GET IN TOUCH

We'll tell you which bots to keep.

Start the conversation

hello@controlloop.tech