Searching for information
Customer records, emails and documents are stored in different places. Your team has to search before the actual work begins.
AI agents for small and medium-sized businesses
AI agents for your everyday work.
AI agents interpret requests, connect information and handle tasks in your IT systems. DTG develops and supports them to help demanding processes move faster and give your team more capacity.
New enquiryFrom your inbox
Gather informationFrom your systems
Prepare the answerFollowing your guidelines
Your team approvesYou stay in control
AI in everyday work
From a request to the next step.
A customer asks about a delivery date. See how the agent understands the request, checks information and prepares a response for your team to approve.
Your customer asks about delivery.
- Starting point
- “We need 20 office chairs. Can you deliver by next week?”
- The agent
- The agent identifies the product, quantity and requested delivery date in the customer’s email.
- Result
- 20 office chairs · Delivery by next week · Check availability.
Stock and delivery times are checked.
- Starting point
- The required details are held in your inventory system and delivery terms.
- The agent
- The agent retrieves available stock and delivery times from your connected systems.
- Result
- In this example: 24 in stock, delivery in 3–5 working days. The exact delivery address is still missing.
A relevant customer response is ready.
- Starting point
- Stock and standard delivery times are known. The delivery address is needed to check the requested date.
- The agent
- The agent drafts a response using the checked details and asks for the missing address.
- Result
- “The 20 office chairs are available. Standard delivery takes 3–5 working days. Please send us the delivery address so we can check your requested date.”
Your sales team reviews and approves.
- Starting point
- The customer email, checked stock information and draft response are available together.
- The agent
- The agent submits the draft to your sales team. A team member checks the details and approves sending.
- Result
- Your customer receives a specific response. Your sales team saves time looking up stock and delivery information and drafting the follow-up.
Your working day
When follow-up questions fill the working day.
Copying data between systems
Information is copied from a message to a spreadsheet and then into another system. This takes time and creates opportunities for mistakes.
Drafting the same answers again
Similar responses, summaries and drafts are created from scratch every day. Much of the preparation repeats.
Practical applications
Practical tasks for AI agents.
How does an agent handle missing information, follow-up questions and approvals? These examples show the workflow and your team’s decisions.
The order needs a confirmed address.
The agent compares the order with existing records, identifies the different address and prepares the follow-up question and order confirmation.
The customer confirms the address. Your sales team reviews the discrepancy and approves the order confirmation.
Your sales team can confirm the order sooner because the checks and follow-up are already prepared.
Order by email
“Please deliver to our new location this time.”
- Order
- Items and quantity identified
- Delivery address
- Differs from the address on file
Question for the customer
Please confirm the complete delivery address for this order.
Next: order confirmation for approvalAn HR question with an answer already available.
The agent interprets the question, searches approved documents and prepares the relevant answer with its source. It refers unclear cases to HR.
HR keeps the approved content current and handles personal or confidential exceptions.
Employees receive guidance sooner. HR has more time for matters that require personal support.
An employee asks
How do I submit my expenses?
Approved sourceTravel expense policy & form
The agent prepares
The relevant steps, the current form and a reference to the internal policy.
No clear answer? Hand over to HR.
One detail is missing for invoice approval.
The agent extracts the invoice details, checks them against the purchase order and asks the responsible employee for the cost centre. It prepares the case for approval.
The authorised person checks and approves the invoice. Payment approval remains a separate step.
Accounting can assess a complete case and spends less time chasing missing details.
Invoice receivedPrepared for review
- Purchase order reference
- Found
- Amount check
- Matches
- Cost centre
- Follow-up required
To the responsible employee
Which cost centre should this invoice be assigned to?
Once resolved, the authorised person receives the case for approval.
A new product needs clear content.
The agent combines approved product information, customer questions and tone-of-voice guidance. It prepares a draft article and flags claims that need checking.
Your team checks facts, tone and open questions and decides whether to publish.
The editorial team starts with a source-based draft and can focus on the message and quality of the article.
For the product launchExplain a product before customers have to ask.
Product informationCommon customer questionsYour tone of voice
Prepared outline
- Which problem does the product solve?
- How it works in everyday use.
- Answers to common follow-up questions.
Your editorial team checks the claims and tone before publishing.
Our services
From the initial task to daily operation.
We assess where an agent can help, connect it to your systems and take care of its operation. You have one partner for the complete implementation.
Consulting & planning
AI consulting for SMEs: select suitable processes, assess data and effort, and develop a concrete implementation plan for AI agents.
Implementation
Develop and implement AI agents: connect existing IT systems, define approvals, and test typical cases and failures before rollout.
Operations & development
Support AI agents in production: monitor executions and quality, investigate failures, and test changes to models, data sources and IT systems.
Working together
Getting started in four steps.
Bring a process that regularly takes up time. In the first conversation, we assess its potential and the requirements for a manageable starting point.
Your team + DTG
Your day-to-day work shapes the next step.
- 01
Understand the task
We discuss your day-to-day work and identify a specific starting point.
- 02
Define the scope
We define the first workflow and agree how to assess its value.
- 03
Introduce it together
We connect systems, run tests and agree approval steps with your team.
- 04
Improve in daily use
We support everyday use and adapt the agent to new requirements.
Plan. Connect. Support.Working together.
Beyond a single project.
Beyond a single project.
About Digital Talents Group
More capacity for your business.
Faster processing creates room for customers, decisions and demanding cases. DTG supports agents after launch and adapts them as your systems or tasks change.
- Bring cases to a decision faster.
- Reduce manual handovers and duplicate work.
- Make better use of knowledge in existing IT systems.
Good to know
Frequently asked questions
What is an AI agent?
An AI agent uses artificial intelligence to interpret language in context, assess information and choose suitable next steps. Through connected tools, it can perform tasks such as checking details, preparing follow-up questions or routing a case. Its goal, access permissions and required approvals are defined in advance. Validation rules and tests help identify unclear or incorrect results.
Which businesses is this suitable for?
For small and medium-sized businesses with demanding tasks that recur regularly: assessing information, handling follow-up questions or coordinating cases across IT systems. The key factors are the effort involved today, available information and clear criteria for a good result. In the first conversation, we assess where an agent can speed up processing and reduce your team’s workload.
Do we need to replace our existing systems?
We plan around your existing IT environment, which may include inventory management, accounting, HR software, document storage, email and other applications. We assess interfaces, permissions and data quality and connect systems around the workflow. We establish whether a particular integration is feasible before implementation.
Does our team stay in control?
Yes. Together, we define which actions the agent may perform and when approval is required. Sensitive actions, unclear cases and errors have appropriate handovers to your team.
How are costs structured?
Our engagement consists of an initial implementation and monthly support with an agreed scope. Model usage and other third-party costs are considered separately. Your proposal depends on the task, integrations and level of support required.
How do you handle company data?
Before implementation, we clarify which data is needed, which systems are involved and who has access. Data flows, providers and retention arrangements must suit your requirements. We do not need confidential documents for your initial enquiry.
What happens if an agent makes a mistake?
Before launch, we test typical cases, missing details and exceptions. Limited permissions, validation rules and approvals safeguard critical steps. When something is unclear, the agent asks a question, hands over to your team or pauses the affected step. If an error occurs, we contain its effects, review the logs and cause, and correct the workflow. We test the change before resuming and extend the checks to help prevent recurrence.