Workflow and AI Automation
Cut the manual busywork between your tools, and put AI to work where it genuinely helps. Automation your team can actually trust.
Hours lost to work that should not exist
Teams lose hours every week re-keying data between systems and chasing approvals. On top of that, documents, tickets, and inboxes all need reading, sorting, and summarising by hand. Most of it is predictable work that a well-built system could handle without anyone touching it.
Constant re-keying
The same data entered into three different tools by hand, every single day. One slip and something downstream breaks.
Approval chasing
Emails asking "can you sign off on this?" sit unread. Work stops. People wait. Nobody knows where the hold-up is.
Document overload
Inboxes full of PDFs, forms, and attachments that all need reading, sorting, and summarising before anything can move forward.
From scattered tools to a self-running pipeline
On the left: the usual picture. Separate tools, data copied by hand, approvals chased by email. On the right: the same tools wired together, data moving on its own, and the team notified only when something actually needs them.
Two distinct tools, one joined-up system
Automation
The plumbing that moves structured data between your existing tools without anyone having to touch it. Triggers, transforms, approvals, and notifications that run on their own.
- Move data between your existing tools without re-keying
- Approval and notification steps that run themselves
- Guardrails and logging so every action is auditable
- Triggers on schedules, form submissions, or status changes
AI processing
Language models applied to unstructured content: documents, emails, forms, tickets. They read, extract, classify, and draft so your team does not have to.
- Document processing and structured data extraction
- Classification and triage of incoming emails or tickets
- Drafting standard replies, summaries, and reports
- Flagging edge cases for a human to review
Nothing important happens without a person checking it
Automation only earns trust if it stays within guardrails. Every system we build has explicit human-in-the-loop steps for the decisions that matter: send queues you review before anything goes out, approval gates before high-stakes actions, and a full log so you can always see what ran, when, and why.
We map the work before we automate it
Most automation projects fail because they try to automate a broken process. We start with what is actually happening, then build in the right order.
Map where time is lost
We start by understanding the actual repetitive work: what gets copied, what gets chased, what gets read and re-read. No assumptions, just a clear picture of where the hours go.
Automate the plumbing first
Before any AI, we wire your existing tools together so data flows automatically. Most of the time savings come from this step alone.
Add AI where it genuinely helps
AI earns its place only where there is unstructured content to interpret: documents to extract, emails to classify, reports to summarise. Not everywhere, just where it adds real value.
Keep people in control
Every important action gets a human checkpoint or a full audit trail. Nothing happens silently. You can see exactly what ran, when, and what it decided.
More of what we build
Two signals, one brain
Your ad platforms and your analytics, wired into one system, so the visitors who looked and left become an audience you can bring back.
When software touches the real world
A reusable smart event badge and the platform that runs the whole event, built as one product. DiGiG8.
The platform your business needs
When off-the-shelf tools don't fit how you work, we build the system that does. Custom CRMs, catalogues, databases, and dashboards, shaped around your process.
Tell us where the busywork lives
Hours of manual work and repetitive reading removed each week, with fewer errors and your team freed for work that needs judgement. Show us the process and we will show you what it looks like automated.