Dashboards & Reporting
I build visual interfaces that surface agent outputs, pipeline results, and system status in formats that actually help people make decisions. Whether you need a real-time operations dashboard or a weekly stakeholder report, I design views that connect directly to your AI infrastructure and present the right information to the right audience.
Visibility turns AI from a black box into a business tool
Without clear reporting, even the most capable AI systems remain opaque to the people who depend on them.
Agents process data, make decisions, and take actions — but if nobody can see what's happening, trust erodes quickly. Dashboards solve this by giving teams a window into what the AI is doing, how well it's performing, and where attention is needed. I've seen organisations run sophisticated agent pipelines with no way to tell whether they're working correctly until something visibly breaks. That's avoidable.
The dashboards I build are not generic analytics tools. They're purpose-built interfaces that connect directly to your agent outputs, pipeline logs, and business data. Every chart, metric, and table is chosen because it answers a specific question that someone in your organisation actually needs answered.
What I build
Reporting layers designed around your AI systems and the people who need to understand them.
Real-time operations dashboards
Live views into agent activity, pipeline throughput, error rates, and system health. Built for operations teams who need to know what's happening right now, with automatic refresh and clear visual indicators when something needs attention.
Scheduled reports and digests
Automated reports delivered on a cadence that suits your workflow — daily summaries, weekly rollups, or monthly reviews. I build the generation pipeline, the formatting, and the delivery so reports arrive ready to read without manual effort.
KPI tracking and trend analysis
Metrics that matter to your business tracked over time with proper baselines and context. I work with you to identify the right KPIs, set up the data collection, and build visualisations that show whether your AI investments are delivering results.
Data visualisation
Charts, graphs, and tables that communicate clearly. I choose visualisation types based on the data and the audience — no gratuitous complexity, no misleading scales, no decoration that doesn't serve understanding.
Stakeholder-appropriate views
Different audiences need different levels of detail. I build role-based views so executives see high-level outcomes, managers see operational metrics, and technical teams see the diagnostic detail they need to troubleshoot and optimise.
Agent output integration
Direct connections between your AI agents and reporting interfaces. Agent decisions, classifications, summaries, and actions flow into dashboards automatically, giving you a clear audit trail and performance record without additional data entry.
Hiring me for Dashboards & Reporting
A view of what your agents and pipelines are doing, built for the people who need to act on it.
Who it's for
- Teams running AI systems nobody can see into
- Managers who want a weekly digest instead of logging in
- Operations that need a live view of queues, errors and throughput
- Stakeholders who each need a different cut of the same data
What you get
- Dashboards for each audience
- Scheduled reports or digests
- Metrics and KPI definitions, written down
- Connections to your agents, pipelines and data stores
- Handover so your team can add views
What I need from you
- Who needs to see what, and how often
- Access to the underlying data
- Your preferred tool, if you have one
- A contact from each audience to review drafts
How it runs
Typically 2–5 weeks.
- Week 1
Audiences and questions
Who looks at it and what they decide from it.
- Weeks 1–2
Data
Connect sources and define the metrics.
- Weeks 2–4
Build
Dashboards and reports, reviewed with users.
- Weeks 3–5
Hand over
Rollout and documentation.
Scoped after a short call and quoted as a fixed price, paid against milestones.