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Operations

Workflow automation for enterprises and governments

We automate the work that lives in inboxes and spreadsheets: approvals, data entry, handoffs between departments and reporting. Systems are connected so information is entered once, reaches the right person, and is visible in one place.

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Five cubes in a row on a stone ledge, a glowing glass one at the centre

What it is

Process automation, system integrations, operational AI agents and reporting that keep one source of truth.

Most manual work in large organisations is not hard. It is repetitive, spread across several tools, and dependent on someone remembering to forward an email. The cost shows up as delays, errors and staff time spent on work that does not need judgement. Naming the process owner at the outset matters more than the tool chosen. Automating it usually does not require replacing any system. It requires understanding the process as it actually runs, then connecting the tools people already use.

We begin by mapping one process end to end: who starts it, who approves, what data moves, where it stalls and how often it goes wrong. We write that down as a standard operating procedure, which is useful on its own, and then decide what to automate and what a person should still decide. Where an AI agent helps, for example reading incoming requests and preparing a draft, it works with an approval step and a log. We start with the smallest useful automation and widen it as the results prove out. Every run is logged, so you can see what the automation did and why.

Automations run on infrastructure with monitoring, retries and alerts, so a failure is noticed rather than silently dropped. Reporting is built on the same data, with Power BI dashboards for leadership and operational views for the teams. We document every flow and train the staff who own it, so the process can change without calling us. Processes change, and the people who own them should be able to change the automation with them. We leave a short guide for editing each flow safely.

Capabilities

What the work covers.

  • Process mapping and SOPs

    The real process written down, with owners, exceptions and measures, as the basis for any automation.

  • Approval and routing workflows

    Requests, purchases, onboarding and case handling routed to the right approver with deadlines, reminders and a full history.

  • System integrations

    Connections between CRMs, ERPs, HR systems, email, spreadsheets and databases, with data validation and conflict handling.

  • AI agents in operations

    Agents that triage requests, extract information from documents and prepare drafts, with human approval and an audit trail.

  • Document and data processing

    Intake of forms, invoices and emails into structured records, with exceptions routed to a review queue.

  • Power BI reporting

    Data models, dashboards and custom visuals that report on the automated processes and the business around them.

  • Notifications and handoffs

    Messages through email, WhatsApp and chat tools at the moment someone needs to act, with context attached.

  • Monitoring and maintenance

    Alerts, retries and run logs for every flow, plus a schedule for reviewing and updating them.

At handover

What you keep.

Typical stack

n8n, Python, TypeScript, Node.js, PostgreSQL, Power BI, Claude API, OpenAI API, REST and webhook integrations, Microsoft 365, Google Workspace, Bun.

Named plainly. We pick per project and explain why.

  • Documented process maps and standard operating procedures
  • The automations, running in your accounts
  • Integration documentation and credentials inventory
  • Power BI reports and data models
  • Monitoring and alerting configuration
  • A change guide for editing flows safely
  • Training for process owners and administrators

How it runs

Four steps, every time.

The solved cube on a black stone plinth, its front face showing the BTI logo in brushed metal and frosted glass

  1. Discover

    We map the product, the funnel or the process and agree where the first useful change is.

  2. Design

    Scope, architecture and rollout on paper. You see what ships, in what order, before anything is built.

  3. Build

    Working increments, reviewed with you as they land rather than revealed at the end.

  4. Operate

    We hand over code, documentation and access, train your team, and stay on until running it is routine.

Questions

Straight answers.

How do we choose the best workflow automation agency?

Choose one that starts by studying your process, not by selling a tool. Ask how it handles failures and exceptions, how automations are monitored, where credentials are stored, and who can edit a flow afterwards. Look for documented handover, a clear approach to human approval when AI is involved, and references from organisations with comparable controls.

Do we need to replace our existing systems?

Usually not. Automation connects the systems you already use, and we recommend a replacement only where an existing tool cannot support the process.

Is it safe to put AI agents into our operations?

With the right controls, yes. Agents work within defined permissions, anything consequential needs a person's approval, and every action is logged. We start with low-risk, high-volume tasks and widen scope as the results prove out.

What happens if an automation fails?

It alerts the owner, retries where safe, and parks the item in a queue rather than losing it. Each flow has a run log so the cause can be found quickly.

What can be automated first?

Usually the process that is high-volume, rule-based and annoying: approvals, onboarding steps, report generation, data transfer between systems. Discovery ranks them by effort and benefit.

How is it scoped and priced?

By process. We scope the flows, the systems involved and the reporting before kickoff, so you know the cost of each piece. Starting with one process is a legitimate way to begin.

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