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On this pageThe workEvaluationProposal

Solutions/Finance and operations/CFO / finance head

Your AI spend, compared on your own workload.

The document processing, image generation and agent work your teams already pay for, compared on a representative sample before anything moves.

Arrange a workload evaluationSee how an evaluation works

Prefer email? hello@azitalabs.com, subject “Workload evaluation: CFO / finance head”

Every team buys AI. Nobody compares like for like.

Every department adds new AI vendors, many billed in dollars, and the run rate moves every month against an annual budget. Delivery now relies on these tools, so cutting usage means cutting billable output. What finance lacks is a like-for-like view: what each tool produces, at what quality, and what the work costs in full.

What you bring
A redacted usage export from your AI vendors, with the workload mix and volumes.
What comes back
Output quality, turnaround and total cost for the same work, set side by side for finance and the teams.

What an evaluation could look like.

An example workflow

A national retail chain

Marketing, customer service and store operations each buy AI tools on their own cards. An evaluation could take a representative sample from each function, agree the quality checks with the team leads, and set output and total cost side by side for finance.

An example workflow

A logistics company

Invoices and delivery notes are processed through several vendors billed in dollars. An evaluation could take a month's sample, compare extraction accuracy and total cost, and show which workloads would move.

An example workflow

A wealth management firm

Research summaries and client reports use AI tools the compliance team reviews. An evaluation could run a representative sample where the firm's rules allow and compare the output and total cost with the current vendors.

A dark boardroom table corner with reading glasses and a closed folio, a warm screen glow reflected on the wood

Judge the output. Compare the total cost.

Judged on your own work

The sample comes from your own usage, and your teams set the quality checks. Nothing is compared on a benchmark you did not choose.

Team by team

Each team's workload is compared separately, so a decision for one team does not force a change on the others.

Quality and total cost, compared

What the work costs in full, including software, integration and any human review, next to what your vendors bill today.

Where it runs, and what is agreed.

Capacity from the Azita fleet

Run your workload on capacity from Azita’s installations. Scope the workload and data requirements.

Discuss your workload on the fleet →

An installation in your building

Scope the room and workload together. Azita designs, installs and commissions the deployment.

Discuss an installation in your building →

Where the work runs, which models are used, who has access and how long anything is kept are agreed in your proposal before any work starts. The Trust page sets out custody and residency by side.

Compare quality and total cost on your own workload.

Agree a representative job and the acceptance criteria. Compare the output, turnaround, data requirements and total cost before deciding.

  1. Share one monthA usage export from your current vendors, names and content redacted. Volumes and the workload mix are enough.
  2. Agree the sampleA representative workload chosen together, with the quality checks and turnaround your teams expect.
  3. Compare, then decideOutput quality, turnaround, data requirements and total cost, side by side. Move team by team, or not at all.

Available to evaluate on your own workload.

On the Azita fleet, or on an installation in your building.

Arrange a workload evaluation

We'll review what you need to run and contact you to discuss the right setup.

Proposal based on your workload and deployment.

There is no price list. Your proposal states what is being quoted, the commitment and what is included. Human review, software licences and integration are listed wherever they apply.

Add what you pay for today. It travels with your enquiry as a note, so the comparison starts from the same work.

Opens the spend table on the pricing page. Your note travels with your enquiry, never in the page address.

Prefer to read first? How pricing works →

Straight answers.

How is cost compared?+

On your own workload. We agree the job and the acceptance criteria, then compare output quality and total cost with what you run today. No figure is published in advance.

How does an evaluation work?+

Send a month of usage from your current vendors, names and content redacted. We agree a representative sample and the quality checks, and your teams review the output next to its total cost.

What does a proposal contain?+

What is being quoted, the commitment, what is included and what can change the bill, laid out before you sign. Human review, software licences and integration are listed wherever they apply.

What can change the bill?+

What can change the bill, such as additional volume or storage, is set out in your proposal before you sign, next to the commitment and what is included.

Where does our data go?+

On the Azita fleet, or on an installation in your own building. Where your data is processed, who has access and how long anything is kept are agreed in your proposal before any work starts.

How do we leave?+

Term, exit and what happens to your data at the end are set out in your agreement before you sign.

Related

Finance and operations

The AI line item, compared on your own workload before anything moves.

The page for every kind of work in this group, and how an evaluation works.

Read →

Also for

Procurement

Consolidate AI spend on evidence: compare output quality and total cost on a representative workload, with a proposal that sets out the terms.

Read →

Also for

Operations head

Document processing, ticket routing and workflow automation, compared on your own processes. See quality, turnaround and total cost first.

Read →

Start with your own workload.

Start with one month of usage

Send a redacted usage export. We agree a representative workload, then set out output quality and total cost side by side before you decide.

Arrange a workload evaluation

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