AI Consulting

What this involves

How we approach ai consulting at Oasis Hive.

AI is genuinely useful in some places and an expensive distraction in others. We help you tell the difference, then build a working prototype you can judge on evidence.

Assessment, prototyping and rollout of AI, with the governance that makes it safe.

What we do

Opportunity assessment

Process review to find where AI creates real value and where it does not.

Rapid prototyping

A working proof of concept in weeks, so decisions rest on evidence not demos.

Assistant and automation build

Support assistants, document processing and workflow automation with review.

Governance and guardrails

Data handling, human oversight, evaluation and an acceptable-use policy.

What you end up with

A ranked shortlist of AI opportunities with realistic value
A working prototype you can evaluate with real users
Clear boundaries on what the system may decide alone
Governance your compliance team can sign off

Tools and technologies

We choose per project rather than by habit. These are the ones we most often reach for here.

Questions about this service

Document-heavy back-office work, first-line customer support, and summarising or routing large volumes of text. Those tend to show measurable savings fastest.

Under a written data processing agreement, with the minimum necessary data, no training on your content, and a documented retention policy.

Practice area

Data and AI Turn the information you already hold into decisions and automation.

Data Analytics Machine Learning Big Data Engineering

Get started

Not sure this is the right service?

Describe the problem instead. We will tell you which service applies and, just as often, which one does not.

Talk to us

Typical next steps

A 45 minute discovery call
A written scope and fixed price
Delivery in fortnightly increments

Delivered properly

One team from scoping through to support

The people who design the system are the people who answer for it in production, so nothing falls between suppliers.

Discuss this service See our pricing

How the work runs

Six steps, no surprises

Step 01

Listen and map

We interview the people doing the work, review the systems in play and write down how things actually flow.

Step 02

Design the solution

We propose what to build first, what to leave alone, what it will cost and what we are assuming. Options come with trade-offs.

Step 03

Build in increments

Working software every two weeks, demonstrated against real data. You can redirect early while changes are still cheap.

Step 04

Verify and secure

Automated tests, security review and load checks run throughout, not at the end, so findings are fixed while the context is fresh.

Step 05

Launch with support

We plan the cutover with you, migrate data carefully, train your team and stay close through the first weeks in production.

Step 06

Run and improve

Monitoring, support and a regular review of what to improve next. Maintained systems stay valuable.

Often paired with

Services that work well alongside this one

All services

Machine Learning

Models that earn their place in production

Forecasting, classification and anomaly detection built to run reliably in production.

data Explore

Data Analytics

Decisions backed by numbers you trust

Data modelling, pipelines and dashboards that give leaders one agreed version of the truth.

data Explore

Digital Transformation

Change the way the work gets done

Programmes that combine process redesign, software and adoption in one plan.

advisory Explore

Next step

Let us scope ai consulting properly

A short discovery gives you a written specification, a schedule and a fixed price. No obligation to continue afterwards.

Request a scoping call See how we price work