Art of Saience Labs

AI Advisory & Strategy

Find where AI can save you time and money.

We help business, engineering and product leaders cut repetitive work, control AI costs and give their teams more capacity.

Let’s talk about your business
An illustrated team maps a paperwork-heavy process and works together on a simpler way to do it

Where we can help

Decide where AI belongs
in your business.

A few ways we can help with your operations, products and teams.

A team maps business tasks and examines a clock and invoices.
01

Business workflows & automation

Which work is worth changing?

Find repeated steps across sales, finance, operations and customer service. Compare the time, errors and cost involved before choosing an opportunity.

  1. Find slow, repetitive work
  2. Redesign work with AI
  3. Measure savings against costs

Examples: document processing, data entry and internal reporting.

An illustrated comparison of existing software, a packaged tool and a custom AI system.
02

AI products & engineering decisions

What should you use or build?

Compare existing software, purchased tools and a custom build. Test how each fits your data, quality requirements and running budget.

  1. Test tools on real tasks
  2. Check accuracy and cost
  3. Choose what to use or build

Examples: an AI product feature, model selection or a system review.

Two colleagues practise a workflow with a human review checkpoint and an operating guide.
03

Team adoption & AI transformation

How will people use it?

Redesign the workflow around the people doing the job. Agree what AI handles, where people review it and what the team needs to learn.

  1. Define AI and human roles
  2. Train on real workflows
  3. Equip the team to take over

Examples: role-specific training, review processes and rollout plans.

Your business case

What would the change be worth?

Start with the work, compare a proposed approach and test what would have to be true for it to pay off.

One example: an AI support agent answers customers using company knowledge and routes questions that need judgement to people

How we build the business case

Measure today’s costs.

▤Incoming workRequests, files or tasks
◷Team effortHandling and corrections
✓Finished workTime, cost and quality
Your baseline: what one completed task takes today.

Start with real tasks and the people doing them. Record volume, time, errors and cost so the proposed change has something concrete to beat.

Research across industries · McKinsey, 2026

Where businesses are seeing savings.

In McKinsey’s 2026 global survey, respondents most often reported AI-related cost reductions in supply chain management, service operations and manufacturing.

The findings also show a gap between personal productivity and financial impact across a whole organisation.

Read the study and methodology ↗
80%
of respondents said AI improved their own productivity.
37%
reported a positive contribution from AI to their organisation’s earnings before interest and taxes.

Survey of 1,719 participants in 97 countries, across industries. Self-reported findings; these percentages describe respondents, not the size of a cost saving.

What you get

Your advisory brief.

You get a written recommendation on what to pursue, what it will take and who needs to be involved.

If you already have a project underway, we can focus on the choices holding it back: architecture, model costs, evaluation or adoption.

Your advisory brief / 01

Rank the projects worth pursuing

01Business workflowsTime & cost
02AI product ideasValue & fit
03Existing systemsQuality & cost

Rank opportunities by potential benefit, feasibility and the work needed to adopt them.

Where could your business use a hand?

Tell us what’s taking too long, costing too much or proving difficult to change.

We’ll get back to you within 2 business days.

Open the enquiry form in a new tab ↗