Your AI

Business intelligence · Agentic AI

AI thatpays for itself. Business intelligence and agentic AI systems for founder-led teams.

Business intelligence first. AI second. We build only the systems the numbers justify.

Free 30 minutes · No pitch · You keep the roadmap

Sec. 01 / The Ziiro System

Systems,
not demos.

127 jobs of work, mapped across 30 agents in 7 departments. 107 of them run today.

Ziiro Intelligence

Operations

4 agents

Video Editing pipelineActive

Operations

Assisted post-production pipeline

Carry raw footage to a reviewable cut on its own, and hand a human the two decisions that actually need judgement: what the story is, and whether the cut works.

Workflow

Trigger — Raw footage delivered to the ingest folder

Outputs

Rough cutCaptionsExport-ready timeline

Steps
09
Agents
04
Integrations
05

Trigger

Raw footage delivered to the ingest folder

Connected to

TranscriptionScene detectionLLM reasoningMedia storeEditor timeline

Agents

  • Normalises, names and indexes everything that arrives.

    Input

    Raw media files

    Process

    File normalisation · Indexing · Quality flags

    Output

    Indexed media library

    Hands to

    Transcription Agent

    Weighs up

    • Which files belong to this shoot?
    • Is anything unusable — no audio, wrong frame rate, corrupt?
  • Produces the time-coded transcript the rest of the pipeline searches.

    Input

    Indexed media

    Process

    Transcription · Speaker separation

    Output

    Time-coded transcript

    Hands to

    Highlight Agent

    Weighs up

    • Speaker separation
    • Confidence on unclear audio
  • Finds the moments worth keeping.

    Input

    Transcript and scene boundaries

    Process

    Passage ranking · Repetition removal

    Output

    Ranked highlight list

    Hands to

    Assembly Agent

    Weighs up

    • Which passages carry a complete thought?
    • Where does the energy actually change?
    • What is repetition of something already covered?
  • Builds the rough cut and lays in captions and b-roll.

    Input

    Highlight list, media library

    Process

    Timeline assembly · Captioning · B-roll cover

    Output

    Rough cut timeline

    Leaves the pipeline as

    Rough cut

    Weighs up

    • Does the order hold together without the missing shots?
    • Where does a cut need covering?

Sec. 02 / How It Works

Understand first.
Build second.

Most AI projects start by picking a tool. Ours start by finding out what a saved hour is actually worth to you.

  1. 01

    Discover the business

    Sessions on revenue, operations, and cost structure. How the company actually runs, not how the org chart says it does.

  2. 02

    Find the bottlenecks

    Every process step mapped, with the manual work, repeated tasks, and handoffs flagged where the hours disappear.

  3. 03

    Measure the ROI

    Monthly savings, build cost, and break-even for each opportunity. The numbers decide what gets built, and what doesn't.

  4. 04

    Build the systems

    Agents, loops, and dashboards shipped into your stack. Working systems, not slide decks.

  5. 05

    Optimize continuously

    Each system tracks its own outcomes and gets tuned against them, so performance compounds after launch.

Sec. 03 / Why We're Different

Four ways to get AI.
One that pays back.

You have real alternatives to hiring us. Here is what each of them actually gets you.

Typical AI agency

  • Starts with AI tools
  • Sells automation first
  • Generic workflows
  • Measures activity
  • One-time delivery

Internal team

  • Knows the business
  • Hard to scale
  • Expensive to staff
  • Slow execution
  • Limited AI expertise

ChatGPT or Claude alone

  • Gives you answers
  • No business context
  • No integrations
  • No implementation
  • No accountability

Ziiro

  • Starts with business intelligence
  • Finds where money is actually lost
  • Quantifies ROI before building
  • Builds only what the numbers justify
  • Measures outcomes continuously
  • Keeps improving the system after launch

Sec. 04 / What Powers Ziiro

The model isn't
the advantage.

Anyone can call the same APIs we call. What compounds is the system built around them, and the business context that feeds it.

  1. Business data

    Your systems connected at the source: CRM, billing, ops, support, spreadsheets.

  2. Business intelligence layer

    Where the hours and money go, mapped and quantified before anything is built.

  3. Research agents

    Agents that gather, enrich, and verify context from inside and outside your business.

  4. Reasoning models

    Swappable

    GPT, Claude, Gemini. Interchangeable by design, and never the differentiator.

  5. Automation engine

    The layer that actually executes: routing, follow-ups, reporting, and the repetitive decisions.

  6. Internal knowledge

    Your rules, your tone, your edge cases, held so every agent applies them the same way.

  7. Continuous learning

    Outcomes fed back in, so each loop is tuned against what it produced last week.

  8. Business outcomes

    Hours returned, costs reduced, decisions made faster, revenue found.

Free business intelligence session

Thirty minutes.
Then you'll know the number.

In that call we will

  • Identify your operational bottlenecks
  • Estimate the ROI of automating them
  • Show where AI actually creates value
  • Recommend what should, and shouldn't, be automated

What it isn't

No sales pitch. No generic AI presentation. A straight assessment of where your business can save time or make more money, and an honest answer if that turns out to be nowhere.

Book your strategy session

You leave with the roadmap whether or not you hire us. How we handle your data.

The beginning

Ready to build?

Free 30-minute call. No pitch.

Book your call