Research domain
AI Agent Systems
Enterprise AI agents capable of dynamic reasoning, tool usage, workflow orchestration and human collaboration.
AI agents go beyond answering questions: they use tools, follow workflows and complete tasks. Our research focuses on making agents dependable enough for regulated organizations, with clear permissions, observable behaviour and smooth collaboration with the people they support.
Why it matters
Most business value comes from completing work, not just answering questions. Agents that can use tools and follow processes let organizations automate across departments, as long as they are reliable, permissioned and transparent.
Questions we are working on
How do agents choose and use tools safely inside existing business systems?
How do we make agent behaviour predictable, testable and auditable?
When should an agent act on its own and when should it ask a person?
How can reusable agent templates speed up delivery across departments?
Focus areas
Tool use
Reliable calling of APIs, databases and business applications with validated inputs and outputs.
Workflow orchestration
Agents that follow and coordinate multi-step processes across teams and systems.
Dynamic reasoning
Adjusting plans as new information arrives instead of following fixed scripts.
Human collaboration
Hand-offs, approvals and clear explanations so people stay in control.
Evaluation
Test suites and scorecards that measure agent accuracy and safety before release.
Agent templates
Reusable patterns for common enterprise tasks that teams can adapt quickly.
Our research approach
01
Define the job
Describe each agent's responsibility, allowed tools and expected outputs.
02
Connect safely
Give agents access to systems through controlled, logged connections.
03
Evaluate before release
Run scenario tests for accuracy, safety and failure handling.
04
Operate and improve
Monitor agents in production and refine them from real outcomes.
What it delivers
Work completed end to end
Requests handled from intake to outcome.
Consistent processes
Agents follow the same rules every time.
Faster delivery
Templates make new agents quicker to build.
Clear accountability
Every action is recorded and reviewable.
Milestones
2024
AI agent orchestration research.
2025
Production multi-agent systems for retail monitoring and compliance.
2026
BrainShift E-Services and Action Hub bring agents to government and business services.
In practice
- Multi-agent systems built on BrainShift that monitor retail branches.
- Agentic workflows that monitor websites and web apps for compliance and mission alignment.
- BrainShift E-Services, using coordinated agents to run government services from request to decision.
Related BrainShift products
Frequently asked
Can agents act without approval?
Only where you allow it. Sensitive steps can always require a person to approve.
Which systems can agents connect to?
Existing applications, databases and APIs through governed connections.
How do you test an agent?
With scenario-based evaluation sets that check results, safety and error handling.
Other research domains
Collaborate on next-generation AI systems for governments and enterprises
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