Media planning, out of the workbooks
A shared planning system with an Excel add-in. Rates, budgets and totals are checked automatically.
Applied AI · Secure agent systems for business
We build the environment where AI agents do real work, safely.
We connect AI agents to your data, tools and processes, with controlled access, verifiable results and measurable return.
Delivering for teams in
- Finance & investment
- Construction & engineering
- Media & advertising
- Operations
Selected work
Where our agents already work
Market signals, from research to product
Signal research moved out of notebooks into a product customers use, with the method fully traceable.
AI-assisted portfolio optimisation
Optimisation and analysis tooling for a fund’s investment team. People decide; the system explains.
Priorities from project documents
An intelligence hub that reads memos, drawings and correspondence, and links every point to its source.
What you get
AI you can measure, control and improve
Return on AI
Every workflow tied to the time and money it saves, by team, project and initiative.
AI spend under control
Model and tool costs tracked per workflow, so spend follows value.
Managed AI workflows
Agents, tools, context and approvals defined, versioned and monitored.
Better AI features
Evaluations and user feedback show what works, what gets corrected and what to fix next.
Services
For processes that have to be right
We start where the work already lives: a workbook, a document archive, a reporting routine.
01
Automate a process
Turn a manual, spreadsheet- or document-heavy process into one that runs, checks itself and keeps a record.
- Excel automation
- Document processing
- Reporting
- Data integration
02
Make AI reliable
Review the AI agents you run or buy, then add independent checks that rerun on every change.
- Readiness review
- Evaluations
- Acceptance tests
- Monitoring
03
Connect business intelligence
Bring goals, internal data and outside signals together into a short, sourced list of priorities for each team.
- Daily briefs
- Source linking
- Prioritisation
The harness
What is a harness?
The controlled environment an AI agent works in. The model brings capability; the harness makes it dependable.
Instructions
Your rules, definitions and conventions, written down.
Context
The goal, who relies on the result, and the limits that apply.
Tools & access
What the agent may read, what it may change, and what it never touches.
Feedback
Checks after every step: figures match sources, totals reconcile.
Memory & progress
A record of what is done, what is open and what was decided.
Human in the loop
A named person signs off before any consequential action.
Without a harness
Output looks finished. Nobody checked it.
With a harness
Every figure traced, every exception flagged, every release approved.
How we work
Start with a Minimum Viable AI
An MVAI is the smallest production-grade AI system that proves value on one real business process. Security, data control and success criteria are built in from day one.
Narrow scopeOne process, one team, one measurable outcome.
Production-gradeReal data, real access controls, full run records.
Proven before scaledExtended only once it meets the agreed targets.
1
Scope
Choose the process, measure the baseline, agree the targets.
Output: success criteria2
Build
Set up the harness: instructions, access, checks and approvals.
Output: working MVAI3
Validate
Run on real data and measure against the targets.
Output: evidence report4
Scale
Extend to more processes and monitor cost and outcomes.
Output: roadmap and monitoringThe first phase is a fixed-fee engagement.
Security & data
Your data, your access rules
Least access
Agents read only what the task needs and change only what they are allowed to.
Your environment or ours
We deploy inside your cloud and systems, or in an isolated environment of our own.
Full run records
Inputs, steps, checks and decisions kept, so every result can be traced.
Human approval
Sending, booking, publishing and paying always wait for a person.
Client data stays private
Our published research uses only public and synthetic data.
Clear failure signals
Problems are flagged and routed to a person, never silently passed through.
Return on AI
Estimate your savings
Pick a process, adjust the numbers, and compare three ways of running it.
Example values, not benchmarks. Shaded sliders are our assumptions. Build and running costs are quoted per process.
Talk to us
Less manual work. Better results. Measurable impact.
Tell us about one process. We will show where AI fits, how we would measure it, and the likely return.