Services
Workflow Automation & AI services
We map manual processes, find the high-value opportunities and design practical automation that improves efficiency, reliability and data accuracy, adding AI where it earns its place: assistants on your own data, document processing, copilots inside the tools your team already uses.
Examples
Workflow Automation & AI in practice
What you get
Scope of the engagement
Process consulting: map the workflow, quantify the manual steps, prioritize automation
Workflow automation and scheduled processing
Document and audit-file reconciliation at scale
AI assistants, RAG and agents on your data with OpenAI, Anthropic or Google models, or private and adapted models when data must stay in-house
Copilots inside Power BI and the Microsoft stack: Copilot Studio, Azure AI Foundry, MCP
Evaluation, guardrails and monitoring
Client value
Typical outcomes
Less repetitive work and duplicated data entry
More consistent and reliable processes
Higher data accuracy
Answers from your data in natural language instead of waiting for a report
Scalable processes that are easier to measure and maintain
How we work
Five steps, a prototype review at each
- 01
Consult
A free conversation about the problem, the people involved and how the work runs today.
- 02
Scope
What to build first, the architecture and a plan with a budget you can hold us to.
- 03
Prototype
A working prototype early, reviewed with your team before the build goes further.
- 04
Build & launch
Short iterations with a review at each stage, then QA, deployment and onboarding.
- 05
Support
Monitoring, fixes and new features as the business changes.
Project-based. A fixed scope and price for well-defined initiatives.
Time & materials. A dedicated team for requirements that evolve.
You own the result: source code, infrastructure definitions and documentation are handed over, with no per-seat fees and no vendor lock-in.
FAQ
Questions we hear most
In repetitive validation and reconciliation work: matching large third-party files against your records, routing approvals, generating reports.
Yes. Private models and retrieval over your own documents keep data in your cloud; hosted models are used only where the data allows it.