Every tool here is part of the ecosystem that AI agents run on. This is the type of infrastructure we build for your business.
The proof of concept that powers everything Harrier does. A team of AI agents running a real business, every single day.
The Challenge
Running a consultancy means wearing every hat — marketing, sales, research, admin, proposals, content, reporting. There aren't enough hours in the day to do all of it well.
The Solution
Designed and deployed a team of named AI agents, each with a defined role, skill set, and cadence. They work overnight, producing content, research, proposals, and admin output. Every morning, 15 minutes of review.
The Results
The command centre that agents report into — where all business data, pipeline, and agent output converges.
The Challenge
Projects, tasks, client relationships, and revenue were tracked across disconnected spreadsheets and tools. No single view of the business — and no way for AI agents to read from or write to a unified system.
The Solution
Built a unified dashboard combining project management, CRM, lead pipeline tracking, revenue analytics, and work session logging. This is where agents deliver their output and where the review queue lives.
The Results
The kind of process agents now handle — standardised estimation that used to take days of manual work.
The Challenge
Preparing quotes and cost estimates took days of manual work — pulling rates from different sources, building up breakdowns, and formatting the final output. Every quote was built from scratch.
The Solution
Built a reusable estimation tool with standardised methodology. Agents draft proposals automatically, with human review on final output.
The Results
The data backbone that research agents use to scan, collect, and consolidate information from multiple sources.
The Challenge
Business data spread across multiple websites and databases needed to be collected, cleaned, and consolidated. Manual collection took hours per week and was error-prone.
The Solution
Built automated data pipelines that scrape, clean, and consolidate data from multiple sources into a single, queryable database. Serves as infrastructure for research and monitoring agents.
The Results
A capability now embedded into the agent team — automated competitive intelligence that runs continuously.
The Challenge
Understanding the competitive landscape required hours of manual research — visiting competitor websites, tracking their offerings, monitoring pricing changes.
The Solution
Built an automated competitive intelligence tool that profiles competitors, analyses positioning, and delivers structured reports. Runs continuously as part of the agent team's monitoring cadence.
The Results
The type of operational process that agents excel at — structured, repetitive, high-value reporting.
The Challenge
Month-end financial reporting was a multi-day exercise. Project costs had to be collated, monthly spend balanced against budgets, and reports formatted for different stakeholders — all by hand.
The Solution
Automated the entire month-end reporting process. Now serves as a template for reporting agents in client deployments.
The Results
We're selecting 3 Scottish businesses to deploy an AI agent team — reduced rate, full service, and your results featured here as a case study.
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