Status: Delivered. Described from our own delivery records. Client identity, brand and commercial terms are withheld. Figures, where given, cover the period stated and nothing beyond it.
Context
A software-as-a-service platform addressing a pattern common to almost every organisation: a long tail of repetitive tasks that individually do not justify a dedicated tool, and collectively consume a great deal of time.
The problem
- Repetitive knowledge work — triaging email, scoring applications, writing up meetings, running routine security scans, handling outreach — was being done manually, in volume.
- Each of those tasks is too small to justify buying a product for it, so they stay manual indefinitely.
- General-purpose assistants handle each of them adequately and none of them well, because a good outcome depends on task-specific structure.
- Running several point tools means several interfaces, several configurations and no single view.
What we built
Twenty task-specific agents
Each built around one job — email triage, CV scoring, meeting transcription and notes, cybersecurity scanning, professional-network outreach, and others — rather than one agent asked to do everything.
Scheduled autonomous operation
So an agent runs on its cadence rather than waiting to be invoked.
A unified dashboard
Across all agents, so configuration, output and status sit in one place.
Per-agent pricing
So an organisation adopts the two agents that matter to it rather than a suite.
How we delivered it
- 1
Choose tasks by volume and rule-clarity
The two properties that determine whether automation is genuinely worth it.
- 2
Build a shared platform layer
For scheduling, credentials, logging and the dashboard, so each agent is a specialisation rather than a rebuild.
- 3
Build agents individually
Each with its own evaluation set and quality bar.
- 4
Instrument every action
So what an agent did and why is inspectable.
- 5
Release incrementally
Agent by agent.
How it was phased
Indicative phasing for work of this shape. Actual duration varies with data quality, access and decision speed.
What the client keeps
- The platform and agent source
- Per-agent evaluation sets
- Action logs
- Scheduling and credential configuration
- The dashboard