Generative & agentic AI
Build copilots and controlled agent workflows that help people find, understand, create and act on information with appropriate permissions and review.
Explore the capabilityAI engineeringEnterprise AI.
Enterprise AI.
Engineered into everyday work.
Build AI-powered applications, knowledge experiences and intelligent workflows around real business needs. Micro Solutions connects specialist talent, trusted data and software engineering to make AI useful in the enterprise.
Build the whole solutionThe model is one part.
The model is one part.
The system makes it useful.
Enterprise AI succeeds when the data, application, people and operating process work together.
We help define a valuable use case, select an appropriate technical approach and design the connections to your existing systems. Evaluation, access boundaries and human oversight belong in that design from the beginning.
Engage specialist engineers within your own team or discuss a scoped development initiative with agreed deliverables and acceptance criteria. The right model depends on what you want to own and where you need additional capability.
Our capabilitiesSpecialist disciplines.
Specialist disciplines.
One connected approach.
Predictive AI & machine learning
Develop predictive and analytical models with explicit targets, useful baselines and a plan for monitoring production behavior.
Explore the capabilityEnterprise knowledge & search
Build source-grounded knowledge experiences using retrieval-augmented generation (RAG). Connect answers to authorized information with source traceability, permission-aware retrieval and meaningful evaluation.
Explore the capabilityAI application engineering
Choose, integrate and operate language models within enterprise software. Address task quality, application behavior, latency, cost and failure handling together.
Explore the capabilityAI-ready data & cloud
Prepare ingestion, transformation and access patterns that make trusted data available to AI applications. Align architecture with your existing cloud environment.
Intelligent workflow integration
Connect AI capabilities with APIs, enterprise applications and user experiences. Combine model-driven assistance with reliable software rules and the controls required by the process.
From discovery to operationA practical path
A practical path
from idea to implementation.
Frame the opportunity
Identify the user, the decision or task and the current baseline. Prioritize a use case whose value can be measured and whose data is accessible.
Build & evaluate
Develop a focused working slice. Test representative examples, failure cases and the boundaries of the proposed design before expanding scope.
Integrate & release
Connect identity, authorized data and business applications. Agree acceptance criteria, human review requirements and a controlled release plan.
Operate & improve
Define monitoring, feedback, ownership and change procedures. Review quality and cost as models, data and user needs evolve.
Engineering disciplineUseful by design.
Useful by design.
Accountable in operation.
We shape the architecture around the use case, the information it handles and the decisions it supports.
01
Quality you can examine
Agree representative evaluation sets and release thresholds. Use domain review alongside automated checks.
02
Boundaries you can define
Plan identity, data access, tool permissions and review points. Design constrained behavior for actions that change business systems.
03
Operations you can own
Document dependencies, deployment steps, monitoring and support responsibilities. Make handover part of the delivery scope.
Start with the problem worth solving.
Bring us a use case, a prototype or a capability gap. We’ll help define a practical next step.