Work

Work inside real organisations.

We do not begin with demonstrations. We begin with operational problems.

Each deployment starts by understanding the business. Each one ends with a system designed for real use.

500+Certificates processed daily

Vessel certificate information handled through NavCert in production.

5+Engineers trained in the method

Forward Deployed Engineers trained to study an operation before choosing a technology.

3+Years building operational systems

Building products and systems for real organisations, not demonstrations.

~6Weeks of research before deployment

Time spent inside one organisation studying its industry, systems, and options before building.

The deployments

Three deployments, one page each.

Turn the page to move between them. Each page opens onto the full case study, where the reasoning is written out in order.

Deployment 01 of 03

Deployment 01

Building an AI workforce inside Microsoft Teams

An organisation wanted AI to become part of its daily operation—not a small experiment or another isolated application, but a working capability inside the company.

Research period: Approximately six weeks
Working environment: Microsoft Teams, email, internal systems
Ahum Labs’ role: Research, system design, agents, integration, permissions, deployment
Outcome: Outcome pending client approval

Read the case study

System diagram — governed AI workerDeployed

Operations lead · Microsoft Teams

“Prepare the weekly compliance report and send it for approval.”

Handled by

AI worker · Compliance operations

Works with an organisational identity, approved tools, and controlled access to internal systems.

Defined responsibility
Approved tools
Controlled access
Operating limits
Escalation rules

Escalates to

Named approver · Human decision

The action is not completed until a person with authority confirms it.

The AI workforce sits inside Microsoft Teams, where delegation and coordination already happened. No new interface was introduced.

Deployment 02

Making complex maritime work conversational

A maritime organisation needed a simpler way for employees to work across a complicated internal process involving documents, systems, rules, permissions, and several steps.

Industry: Maritime and shipping
Ahum Labs’ role: Workflow research, conversational interface, integration, deployment
Outcome: Outcome pending client approval

Read the case study

System diagram — natural-language interfaceDeployed

Employee · Plain language

Describes what needs to be done, in the words they would use with a colleague.

Behind the conversation

Understand the intentWhat is actually being asked
Retrieve relevant informationFrom approved sources
Check permissionsMay this person do this?
Complete the required stepsAcross several systems
Return the resultIn the same conversation

The employee sees a simple conversation. The engineering remains behind it.

Deployment 03

When the correct solution used less AI

A major shipping organisation approached us after a poor experience with an earlier technology provider. We did not begin by proposing an AI platform. We began by asking what had gone wrong.

Industry: Maritime operations
Ahum Labs’ role: Research, product thinking, workflow design, engineering
Outcome: Outcome pending client approval

Read the case study

Intervention mix — as deliveredDelivered

What the answer actually required

Workflow designProduct judgementEngineeringAI

ExpectedA replacement AI platform

RecommendedBetter workflow design, product judgement, and disciplined engineering

RejectedThe larger, more commercially convenient system

Our responsibility is not to maximise the amount of AI inside a company. It is to find what best fits the business.

Maritime

Deep work in maritime technology.

Maritime organisations operate across vessels, regulations, documents, people, approvals, and software developed over many years. The work cannot stop while new technology is introduced. That changes how systems must be built.

Our experience includes

Vessel documentation
Certificate management
Compliance workflows
Recruitment and crewing
Operational communication
Internal information retrieval
Natural-language systems
Legacy software modernisation

On the outcomes shown here

Where a deployment shows Outcome pending client approval, the measured result exists but has not yet been approved for publication by the organisation involved. We do not publish a figure before that approval, and we do not name a confidential client.

Do not begin with a software requirement.Begin with the work that is not working.

Tell us where people lose time, information becomes difficult to find, decisions slow down, employees repeat the same work, or an existing system holds the organisation back.

We will study the operation before deciding what should be built.

Discuss a workflow See how we work

No technical specification required