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AI & Machine Learning

A Domain-Specific Language Model for a Swedish enterprise

How Digict turned large volumes of specialised documentation into an instantly searchable, accurate AI knowledge engine integrated directly into the client's existing systems.

Client
Enterprise · Sweden
Industry
Knowledge-intensive B2B
Service
Custom DSLM / AI
Engagement
Phased rollout
🤖Domain-Specific Language Model Integration for a Swedish Enterprise
68% faster
knowledge retrieval
92%
Response accuracy achieved
68%
Faster information retrieval
40%
Boost in team productivity
3.5x—
Knowledge asset reuse

General-purpose AI couldn't speak the client's language

A growing company from Sweden approached Digict to enhance its digital ecosystem with Artificial Intelligence. Every day the team handled large volumes of industry-specific information, and traditional search tools and general-purpose AI simply couldn't deliver the accuracy or context that employees and customers needed.

The client wanted a solution that understood specialised terminology, internal documentation and business processes — while integrating seamlessly with the systems already in place. Digict proposed a Domain-Specific Language Model (DSLM) tailored to the client's industry and operational requirements.

🧠
A domain-tuned model trained on the client's own terminology, documentation and workflows.

A phased, low-disruption implementation

The project began with a detailed assessment of the client's infrastructure, workflows and data environment to determine where a domain-specific model could deliver the greatest value. We then deployed in stages so employees could gradually adopt the new capability.

1

Discovery & audit

A comprehensive audit of existing business systems and data sources, mapping the key use cases where AI-driven automation and knowledge retrieval could improve efficiency.

2

Data & compliance

Collecting and preparing industry-specific datasets for training, while evaluating security, privacy and compliance requirements up front.

3

Model fine-tuning

Fine-tuning a Domain-Specific Language Model on the client's documentation, terminology and operational knowledge for precise, in-context answers.

4

Integration & rollout

Integrating with the existing CRM, knowledge management and support systems, adding secure access controls, then training teams for phased adoption.

Key Steps Delivered

The implementation combined AI engineering with careful change management:

  • Comprehensive audit of existing business systems and data sources
  • Identifying high-value use cases for automation and knowledge retrieval
  • Collecting & preparing industry-specific datasets for fine-tuning
  • Evaluating security, privacy and compliance requirements
  • Fine-tuning a DSLM on the client's documentation and terminology
  • Integrating the model with existing CRM and knowledge systems
  • Implementing secure access controls and data governance
  • Developing AI-powered search and information retrieval
  • Testing model performance and optimising response accuracy
  • User training and adoption support for internal teams

Specialised information became an instant, reliable resource

The Domain-Specific Language Model transformed how employees accessed, analysed and used business information across departments.

Answer accuracy & retrieval time

General-purpose tooling vs. the tuned DSLM
61921001685889Answer accuracy (%)Retrieval speed (idx)Consistency (%)
Before DigictAfter Digict
  • Faster retrieval of industry-specific information and documentation
  • Higher accuracy compared with previous search and support tools
  • Reduced time spent searching for internal knowledge and guidance
  • Enhanced employee productivity across multiple departments
  • More consistent responses to customer and partner inquiries
  • Better utilisation of existing organisational knowledge assets
  • Secure integration with existing business systems and workflows
  • A scalable AI foundation ready for future automation initiatives

Team productivity

Average uplift across departments
40% uplift

Adoption by department

Active weekly usage after rollout
Support 94%
Operations 88%
Sales & CRM 81%
R&D 76%

Digict didn't just hand us a model — they embedded AI into the way we actually work. Finding the right answer now takes seconds instead of hunting through documents.

EN
Head of Operations
Enterprise client, Sweden

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