Business process automation : A process lead in your business. Measured savings, not a tool.
Golonex puts a named process lead inside your operations to learn the work, measure a baseline, and automate it — workflow tools, document AI, AI orchestration, and custom software when the process needs building. Then runs it, reports monthly against the baseline, and upskills your team.
Part of Business process automation. AI automation and custom app development, owned as an outcome — under the AI governance Managed GRC provides.
All of Business process automation →A process lead who learns your business first.
Automation fails when it is built by people who do not understand the process. So the first thing Golonex provides is not a tool — it is a person who takes a seat in your business and learns it.
- Sits inside your operations — joins the stand-ups, shadows the people who do the work, and learns the exceptions nobody wrote down
- Maps each process as it really runs today, with the team that runs it
- Measures a baseline before anything changes: time spent, error and rework rate, cycle time
- Owns the automation backlog and orders it by return, not by what is easiest to build
- Stays after go-live to run the automations, handle exceptions, and keep improving them
Learn, measure, automate, run.
Learn
The process lead works alongside your team until they understand the process, the systems it touches, and where it breaks.
Measure
A written baseline — time, errors, rework, cycle time — so every saving afterwards is measured against something real.
Automate
Workflow automation, document AI, and AI assistants built with human checkpoints wherever a decision matters.
Run and improve
Automations monitored, exceptions handled, and results reported monthly against the baseline.
Lower cost. Fewer errors. A team ready for AI.
Every outcome is measured against the baseline taken before anything changed, and reported to you monthly.
Cost savings
Hours of manual work returned to your team, measured against the baseline and reported every month.
Fewer human errors
Validation, reconciliation, and checks built into the flow, so mistakes are caught before they reach a customer or the ledger.
Faster cycle times
Approvals, hand-offs, and data entry that took days can run in minutes, with a full audit trail.
A team ready for AI
Your people learn to work with the automations and AI tools, and to own the process when it changes.
The work between your systems and your people.
Documents
Invoices, purchase orders, claims, forms, and contracts read, checked, and entered by intelligent document processing.
Approvals and hand-offs
Requests routed to the right person with the context they need, chased automatically, and recorded.
Data between systems
Re-keying between ERP, CRM, HR, finance, and spreadsheets replaced with integrations that reconcile.
Reporting and reconciliation
Month-end, management, and compliance reports assembled and checked without the copy-paste.
Customer and service requests
Inbound email and tickets triaged and drafted by AI, with a person approving what goes out.
Onboarding and HR workflows
New starters, leavers, and access changes run as one tracked process across every system they touch.
Engineers deployed into your business, orchestrating AI across it.
Two disciplines sit behind every automation we run. Forward-deployed engineering puts the engineer inside your operations. AI orchestration engineering connects models, agents, documents, and your systems into one workflow you can govern.
Forward-deployed engineering
- An engineer who sits with the people who do the work, not a brief handed over a wall
- Builds on your real data, documents, and exceptions from the first week
- Ships something usable in weeks, then iterates with the team that uses it
- The process lead is the first forward-deployed engineer; orchestration engineers join as the scope grows
AI orchestration engineering
Agents, models, and tools in one governed flow
LLM calls, retrieval over your documents, AI agents, and your systems of record chained into a single workflow — with a human checkpoint wherever a decision matters.
Evaluation before production
Every orchestrated workflow is tested against real cases from the baseline, with pass criteria agreed before it goes live and re-run on every change.
Fallbacks, logging, and cost control
Timeouts, retries, model fallbacks, and per-run logs, so a workflow fails safely and you know what each run cost.
Built in your tenant, on your tools
Copilot Studio and Azure AI in a Microsoft estate, or open frameworks where they fit — under your identity, your data boundaries, and your AI inventory.
Orchestration and forward-deployed engineers as seats your own team directs come through managed Data & AI engineering. Here, Golonex owns the outcome.
Your people learn to work with it.
Automation that the team does not understand gets worked around. Upskilling is part of the service, not an add-on.
Formal AI-literacy training with attendance evidence runs through our security awareness and training programme.
- Hands-on sessions on the automations each team works with, so nobody is handed a black box
- AI tools practised on your people’s real tasks — drafting, summarising, analysing — with guidance on what not to share
- Process owners trained to handle exceptions and request changes
Automated, and still accountable.
Every automation is built to be explained to an auditor, a regulator, or your board.
- Every automation recorded in your AI and automation inventory, with a named owner
- Human checkpoints wherever an automated step makes a decision that matters
- Data stays in your tenant and your tools; third-party models are used only where the provider’s terms exclude training on your data, documented per automation
- Logs and an audit trail for every run, kept as evidence
Who runs it
A process lead, with engineers when the build needs them.
The process lead is always there — they are the person who knows your business. Engineers join when the scope is bigger than one person can build and run well.
A process lead
One Golonex process expert in a seat in your business, dedicated or fractional, who learns the process, builds the automations, and runs them.
Fits when
- The processes of one department or one process family, with an engineer briefed for cover
- Automation on tools you already own, such as Power Automate
- Steady improvement over months rather than a single large build
A dedicated team
The process lead, automation and integration engineers, and a project manager (dedicated or fractional) — one plan, one monthly report.
Fits when
- Several departments automated in parallel
- High-volume document processing
- Integrations across ERP, CRM, HR, and finance systems
- AI orchestration — agents, models, and retrieval across several systems — that needs engineering and testing at scale
Either way, one named lead answers for it — and reports to you every month.
When the process needs building, we build it.
Most automation runs on the tools you already have. When it does not — a workflow that needs an application, an integration, a data pipeline, an AI feature — managed software delivery builds it under the same named lead, and you own everything that is built.
Dedicated managed team
Developers, QA, and DevOps as needed under a Golonex project manager. Your lead sets direction; our PM makes it happen. Three- to six-month minimum, set by scope.
02Engineering lead + team
A fractional CTO or Head of Engineering at your leadership table, with a dedicated team under them. Six-month minimum.
03Fixed-scope build
Fixed-price discovery, a fixed price per milestone, then a maintenance retainer. The one place pricing is per milestone, not per seat.
Where the neighbouring work lives.
Automation specialists on your own team
If you want Power Platform or n8n specialists that you direct, they come as supervised seats.
Business applications seats →A larger custom build
When the answer is a new application rather than an automated process, it runs as a fixed-scope build.
Custom app development, above →Someone to own AI governance
A fractional Chief AI Officer (vCAIO), part of Managed GRC, owns the AI inventory, risk classification, and oversight your automations sit inside.
The vCAIO seat →Business process automation — your questions, answered
What is a process lead? +
A Golonex process expert who takes a seat in your business, dedicated or fractional. They learn how your work actually gets done, measure it, decide what to automate first, and own the automations once they are live. You deal with one person who knows your business, not a project team that leaves after go-live.
What is forward-deployed engineering, and is that what the process lead is? +
Yes. Forward-deployed engineering means the engineer works inside your business — with your people, your data, and your exceptions — rather than building from a specification at a distance. The process lead is the first forward-deployed engineer on every engagement; orchestration and integration engineers deploy alongside them when the scope grows.
What does AI orchestration engineering cover? +
Connecting language models, retrieval over your documents, AI agents, and your systems of record into one workflow with human checkpoints — then the engineering around it: evaluation against real cases, logging, fallbacks, cost control, and a place in your AI inventory. Orchestration without that engineering is a demo, not a process you can run.
How is this different from hiring automation developers? +
Managed talent gives you automation specialists that your team directs. Here, Golonex owns the outcome: the process lead decides what to automate, builds it with engineers as needed, measures the result, and runs it afterwards.
Is it one person or a team? +
It depends on the scope. One process lead can own the processes of a department and build most of the automations. Several departments, high-volume document processing, or integrations across ERP, CRM, and finance need automation engineers alongside the lead.
How do you measure the savings? +
Against a written baseline taken before anything changes — time spent, errors and rework, cycle time. The monthly report shows each automation against that baseline, so the return is a number, not a claim.
Does automation mean cutting staff? +
That is your decision, not ours. What we commit to is returning time and reducing errors. Most clients redeploy the time to work that needs judgment, and the upskilling is there so your people can work with the automations rather than around them.
Which tools do you use? +
The ones that fit your estate: Power Automate and Copilot Studio in a Microsoft environment, n8n or Make where they fit better, intelligent document processing, and large language models under your governance. Where you already own a tool, we use it.
How is it priced? +
Fixed monthly pricing by seat, dedicated or fractional, set before the month starts. A process lead seat carries a six-month minimum, because learning a process properly takes time; engineers added for a build are scoped as a team, three to six months.
Start with the process that hurts most.
Tell us where the manual work, the errors, or the delays are. Thirty minutes is enough to say what a process lead would look at first.
Business Process Automation · All of Business process automation →
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