Netgate Logo
NETGATEIT Solutions
AI & AUTOMATION

AI Solutions & Business Process Automation

Automation applied where it pays for itself — AI solutions, business process automation, chatbots, workflow automation and AI integration into the systems you already run.

The work nobody should still be doing by hand

Every organisation has processes that survive on human patience — copying data between systems, reading the same document type a hundred times a week, answering the same twelve questions, chasing an approval through email. None of it is difficult. All of it is expensive, and it scales by hiring.

  • Staff moving data between systems that could exchange it directly.
  • The same handful of customer questions consuming most of your support time.
  • Documents, invoices or forms read and rekeyed manually at volume.
  • Approvals that stall because they live in an inbox rather than a workflow.

Who this is for

  • Operations teams whose headcount grows in step with transaction volume.
  • Support functions handling high volumes of repetitive enquiries.
  • Businesses processing documents, forms or invoices at scale.
  • Teams that already have good systems but no connective tissue between them.

What we provide

AI Solutions

Applied AI aimed at a specific, measurable task rather than a general capability — classification, extraction, summarisation, search over your own content — with a human review step wherever a wrong answer would matter.

  • Scoped to a defined task with a defined success measure
  • Human review built in where accuracy matters
  • Evaluated against your real data before it goes near production

Business Process Automation

Taking a manual, repetitive process and making it run itself, with exceptions routed to a person. We map the process first, because automating a bad process just produces bad outcomes faster.

  • Process mapped and simplified before it is automated
  • Exceptions routed to a human rather than silently mishandled
  • An audit trail of what ran and what it decided

AI Chatbots

Assistants grounded in your own documentation and data, so they answer from what your business actually says rather than inventing something plausible — with a clear path to a human when they cannot help.

  • Answers grounded in your content, with sources shown
  • Explicit handover to a person when confidence is low
  • Deployable on your website, in your product or in your support tooling

Workflow Automation

Connecting the steps of a process across the systems that hold them — triggers, approvals, notifications and handoffs, so work moves without someone remembering to move it.

  • Multi-step approvals with reminders and escalation
  • Triggered actions across your existing systems
  • Visibility of where any item currently sits

AI Integration

Adding intelligent capability to software you already run, rather than replacing it — an existing CRM, portal or internal tool gaining search, classification or drafting where it saves real time.

  • Integrated into current systems and workflows
  • Data handling and retention agreed before anything is sent anywhere
  • Costs modelled up front so usage does not surprise you

Ways to work with us

We strongly recommend starting with a pilot. It is the cheapest way to find out whether a process is a good automation candidate.

Process assessment

We map a candidate process and tell you honestly whether automating it is worth it.

  • Fixed price, short duration
  • Written findings and an effort estimate
  • Includes the case for not automating, where that is the answer
  • Yours to act on either way

Pilot

A narrow, production-realistic build on one process.

  • One workflow, evaluated on your real data
  • Measured against how the process runs today
  • Run alongside the manual process before switching
  • Clear decision point before you commit further

Build & operate

Full implementation with ongoing tuning and support.

  • Rollout across the wider process
  • Monitoring of accuracy and cost in production
  • Ongoing tuning as your data changes
  • Integrated with your existing systems

Technology we work with

AI PLATFORMS

Anthropic ClaudeOpenAIOpen-weight modelsManaged cloud AI services

APPLICATION

PythonNode.jsREST APIsWebhooks

DATA

Vector searchPostgreSQLDocument pipelinesStructured extraction

OPERATIONS

Evaluation harnessesUsage & cost monitoringHuman review queuesAudit logging

How we keep AI work honest

AI systems fail differently from ordinary software: they fail plausibly. These practices exist so a confident wrong answer gets caught rather than acted on.

  • Measured against your real data before production, not demonstrated on a curated example
  • A human review step wherever an incorrect output would have real consequences
  • Answers grounded in your own content, with sources shown so they can be checked
  • Data handling, retention and residency agreed in writing before anything is sent to a provider
  • Usage and cost monitored in production, because both scale with adoption

AI & Automation — frequently asked questions

Straight answers to what clients ask before an engagement starts.

Three things make a process a good candidate: it happens often, it follows rules that can be stated, and the cost of an occasional error is manageable or catchable by review. Processes that are rare, highly judgement-based, or where a wrong answer is unrecoverable are usually better left with people. The assessment exists to answer this honestly, including when the answer is that the automation would not pay for itself.

We design for it, because it will happen. Wherever a wrong output would matter, the system routes to a human for review rather than acting autonomously. Chatbots hand over to a person when confidence is low instead of guessing. Every automated decision is logged so it can be audited after the fact. A system that cannot explain what it did cannot be debugged when it matters.

That is agreed in writing before we build anything, and it drives the architecture. Depending on your requirements we use providers with contractual commitments against training on your data, or run open-weight models inside your own infrastructure so nothing leaves it. If you have data residency obligations, tell us at the start — it changes the design, and it is far cheaper to know up front.

Unlike traditional software, AI running costs scale with usage, so we model them during the pilot using your real volumes rather than estimating. You get a projected monthly cost at realistic and at high volume before committing to a full build, and we monitor actual usage in production so growth is visible rather than arriving on an invoice.

Usually, yes — and it is often the better option. If your CRM, portal or internal tool exposes an API, we can add capability to it without replacing it. Where a system is closed, we work around it with integration at the data layer. We will tell you when a system genuinely cannot be extended rather than proposing an expensive replacement you did not ask for.

Question not answered here?

Ask us directly. We answer every enquiry personally, and we will tell you when something is not a good fit.

Book a free consultation

Have a process that runs on human patience?

Describe it to us. We will tell you whether it is a good automation candidate, roughly what it would take, and when the honest answer is to leave it alone.