Automation stack

AI automation

We help your team reduce manual operations using practical AI and automation systems that improve speed and consistency.

Talk to our team See relevant work

Practical AI and workflow systems that reduce manual work.

Workflow design around repeatable operational tasks

Tooling with n8n, OpenAI, webhooks, and APIs

Lead routing, reporting, and support automation

Human-in-the-loop checks for reliability and control

What is included

Common AI tools and systems we work with

We combine orchestration, AI calls, and system integration into a workflow that is realistic to maintain.

n8n

OpenAI

Make

Zapier

Webhook APIs

Google Sheets

Delivery process

How we build automation

The goal is not novelty. It is a dependable workflow that fits the way your team already operates.

Map the manual process and edge cases

Choose the right tools and data flow

Build and test in n8n or a similar stack

Deploy, monitor, and refine the workflow

Less manual work

We remove repetitive admin so your team can spend more time on actual decisions and customer work.

More consistent output

Automations follow the same steps every time, which reduces missed actions and inconsistent handoffs.

AI that fits operations

We use AI where it helps most: classification, drafting, routing, summarization, and assisted decisions.

Case studies

Real delivery outcomes for ai automation

Anonymized snapshots from recent projects that show the business problem, implementation approach, and measurable results.

Round-robin lead email distribution workflow

We built an n8n-based round-robin workflow that assigns new enquiries across sales reps, records ownership, and escalates if a lead is not acknowledged within SLA. This reduced first-response time from 5.2 hours to about 42 minutes and removed manual forwarding from day-to-day operations.

Result: first response 5.2h -> 42m

AI tender scraper and alert automation

For a team pursuing public-sector opportunities, we implemented an AI-assisted scraper pipeline that monitors tender portals, filters relevance, summarizes key requirements, and sends notifications to decision makers. The team started seeing relevant opportunities within the same day and increased qualified tender submissions by roughly 3x over one quarter.

Result: same-day tender alerts and 3x qualified submissions

FAQ

Common questions about ai automation

Why do you mention n8n?

Because we use it for real workflow orchestration when a flexible, self-hostable automation layer makes sense for the job.

What kinds of tasks can be automated?

Lead routing, summaries, notifications, reporting, support triage, content handling, and internal data movement are all common fits.

Do you build AI workflows with human checks?

Yes. We usually add review steps where accuracy matters so the automation is useful without becoming risky or opaque.