AI services for real business workflows

Compare four service directions built around a specific task: handling enquiries, reducing repetitive work, connecting AI to existing systems or creating an application when standard software does not fit.

Start with the task, not the technology

The same business process may need one service or a combination of several. We first look at the people, information, decision points and systems involved, then determine which technical approach fits.

You do not need to choose the technology before contacting us. Bring the workflow, the problem and the context; the service direction can be defined during discovery.

SOL 01

AI chatbots

For repetitive customer questions and enquiry intake

An AI chatbot can answer common questions using approved content, collect details, route an enquiry and hand unusual cases to a person. Languages, channels and integrations depend on the agreed scope.

Expected effect: Customers receive a consistent first response while your team keeps control of exceptions.

What it can do
Answer common questions from an approved knowledge source.
Collect and structure enquiry details.
Route a conversation or hand it to the right person.
Support the languages approved for the project.
What we need to define
Source content, owners and an update process.
Channels and available integrations.
Escalation rules and human review.
Personal-data handling and retention requirements.
SOL 02

Process automation

For recurring work that moves data, documents or approvals

We map the current workflow, identify repeatable steps and determine where rules or AI assistance could reduce manual handling. People remain responsible for approvals and exceptions defined in the scope.

Expected effect: Less time spent copying information and preparing repeatable drafts, with checks where they matter.

What it can do
Extract and sort information from agreed document types.
Create or update records through available integrations.
Prepare drafts, summaries or notifications.
Route work for approval or exception handling.
What we need to define
Data sources, formats and quality.
Decision rules and exception paths.
System access and integration constraints.
Human review and the required audit trail.
SOL 03

AI integrations

For adding AI to a website, CRM or internal platform

We assess whether an AI feature can be added to the systems already in use before recommending replacement. Feasibility depends on APIs, access, data quality and provider constraints.

Expected effect: Your team can use AI within familiar tools when the existing systems support the required integration.

What it can do
Add knowledge search or summaries to an internal tool.
Assist with drafting, classification or structured data entry.
Pass agreed data between a customer-facing workflow and a CRM.
Connect an AI-assisted step with an existing business process.
What we need to define
API availability and technical access.
Identity, permissions and user roles.
Data transfer, storage and provider requirements.
Monitoring, fallback and ownership after launch.
SOL 04

Custom AI applications

For a workflow that off-the-shelf software cannot support

We define the users, rules, data, integrations and review points before building. A custom application is appropriate only when the need cannot be met more simply with an existing tool or integration.

Expected effect: A focused application shaped around one agreed workflow, with scope and responsibilities defined before development.

What it can do
Guide users through a specialised workflow.
Provide an interface appropriate to agreed user roles.
Add AI assistance at clearly defined steps.
Connect with existing tools where technically feasible.
What we need to define
User roles, access and acceptance criteria.
Required data and third-party providers.
Integration and infrastructure constraints.
Ownership, maintenance and support arrangements.

From task to implementation

A clear path from workflow to launch

Scope, timing and support depend on complexity, data and integrations. We confirm them after discovery rather than presenting them as generic promises.

01

Define the workflow

Document the current steps, people, bottlenecks and outcome that should improve.

02

Check data and systems

Review information sources, data quality, access and integration options.

03

Agree scope and controls

Define responsibilities, human review, exclusions and acceptance criteria.

04

Build and test

Configure or develop the agreed solution, test it against approved scenarios and address the gaps found.

05

Launch and review

Deploy under agreed conditions and provide maintenance or support only within the approved arrangement.