AI FOR BUSINESS · IMPLEMENTATION AND TRAINING
AI that helps your team get work done.
Less manual data entry. Faster preparation of proposals and reports. Easier access to knowledge. We help teams implement and use AI across sales, marketing, production and other business functions.
TWO WAYS TO WORK TOGETHER
Implement the tools. Give people the skills.
01 / IMPLEMENTATION
AI and process automation
We start with a task that takes up your team’s time. We review the workflow, available data and existing systems, select an approach and test a pilot before a wider rollout.
- Process analysis and selection of AI use cases.
- Assistants that work with company knowledge.
- Automation of information and document workflows.
- Connections to CRM, ERP and other systems, subject to available integrations.
- Testing, documentation and handover to your team.
02 / TRAINING
Practical workshops for teams
Participants work on tasks similar to those they handle every day. We tailor the programme to the department, experience level and tools available in your business.
- AI fundamentals and choosing tools for a task.
- Preparing instructions, context and input materials.
- Checking responses, calculations and sources.
- Building repeatable workflows and simple automations.
- Handling company data and taking responsibility for the output.
APPLICATIONS ACROSS YOUR BUSINESS
Different tasks. A shared goal: better ways of working.
These examples show possible starting points. We define the implementation scope after reviewing the process, data quality and system capabilities.
Sales teams
Preparing for client meetings, summarising conversations, drafting proposals and responding to enquiries. Finding product information and organising notes and tasks in the CRM.
Example: meeting notes become a draft proposal and a list of next steps for a salesperson to approve.
Marketing and e-commerce
Developing briefs, product descriptions and content variations. Analysing campaign reports, customer feedback and sales data. Bringing information from different tools into one report.
Example: product data becomes a set of structured descriptions, ready for an editor to review.
Production and operations
Searching manuals and documentation, preparing shift reports, organising issue reports and analysing descriptions of downtime. Supporting knowledge transfer between shifts.
Example: an assistant finds the relevant section of an approved instruction and provides its source. Process decisions remain with authorised staff.
Customer service
Initial ticket classification, case summaries and suggested replies based on a knowledge base. Routing unusual cases to the right person.
Example: an agent receives a summary of previous correspondence and a draft reply before contacting the customer.
HR and administration
Onboarding materials, answers to questions about procedures, draft internal communications and document organisation. Automating reminders and task handovers.
Example: an employee finds an answer in the company knowledge base, while questions requiring interpretation go to HR.
Finance and management
Drafting report commentary, consolidating data, identifying missing information in documents and preparing management summaries. Results and calculations are checked before use.
Example: a periodic report combines agreed data sources and highlights variances for the budget owner to investigate.
FROM AN IDEA TO EVERYDAY USE
Start with one process.
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Understand the need
Identify manual tasks, recurring errors and the outcome your team needs from a change.
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Select an approach
Review data, integrations, permissions and costs. Choose a scope that can be tested in practice.
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Pilot and measure
Compare completion time, output quality and the number of corrections with the current workflow.
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Train and roll out
Provide working guidelines, materials and clear responsibilities. Agree how the solution will be maintained and developed.
AI that fits the systems you already use.
The starting point might be email, spreadsheets, company documents, a CRM, an ERP or a ticketing system. We check which capabilities already exist, what can be connected and where an additional solution is needed.
Before launch, we define which data can enter the tool, who can access it and which actions require approval. Licence, integration and maintenance costs are discussed separately from training or implementation work.
Frequently asked questions
Is the training suitable for people new to AI?
Yes. We can start with the basics and simple tasks or run a workshop for people already using AI. We agree the level and programme before the session.
Can we start with a single department?
Yes. One specific process makes it easier to assess whether a solution is useful. After the pilot, we decide whether to extend it to other tasks and teams.
Do we need to replace our current systems?
We first review what your existing tools can do. Integration depends on factors such as available interfaces, permissions and data quality. Any changes are agreed before implementation begins.
How are the scope and cost agreed?
They depend on the objective, participant numbers, processes and systems involved. We define the training or pilot scope, acceptance criteria and any tool costs. Results are assessed using data from your business.
LET’S START WITH A REAL TASK
What takes up most of your team’s time?
Tell us about the department, the recurring task and the systems you use. That gives us a basis for deciding whether to start with training, a process review or a pilot.
