AI Solutions & Engineering
AI agents that act within limits you set.
At a glance
- Best for
- Operations that repeat multi-step tasks across several systems and want them handled faster
- Typical engagement
- Fixed-scope or ongoing, agreed to fit the work.
- Typical duration
- Varies by scope; agreed at the start of the engagement.
- Team
- Sized to the scope, drawn from our delivery team.
The problem
Where this costs you time.
Tasks spread across tools
One request needs five screens, three people and a lot of copying.
Queues that never clear
Routine cases wait behind the ones that need judgement.
Automation without limits
Autonomous tools worry teams because nobody can see what they did.
What we do
Capabilities
Task design
The steps an agent may take, the ones it may not, and when it stops.
System integration
Safe, permissioned access to the tools the task needs.
Action limits and approvals
Thresholds that send an action to a person before it runs.
Full action logging
A record of every step, input and output, ready for review.
Escalation paths
Clear handoffs to a named person when the agent is unsure.
Performance review
Measures of completion, error and escalation rates over time.
Benefits
What changes when this works.
Outcomes we design for. Measured results appear only after a client confirms them.
- Routine multi-step work handled faster
- Every action visible and reviewable
- Limits set in advance, not after an incident
- People focus on the cases that need judgement
Process
How agentic ai systems engagements run.
Stage 1
Discover and Diagnose
Business, workforce and compliance analysis.
Tech deliverablesProcess map, data-flow map, risk registerStage 2
Design and Align
Solution architecture, operating models, integration planning.
Tech deliverablesArchitecture, prototype, test planStage 3
Implement and Enable
Deployment, onboarding, system validation, change management.
Tech deliverablesBuild, integrate, test, trainStage 4
Govern and Optimize
Continuous compliance monitoring, reporting, automation and enhancement.
Tech deliverablesMonitor, support, improve
Technologies
Tools we would use.
Agents
- Tool-calling models
- Workflow orchestration
- Task queues
- Planning and memory
- Multi-agent coordination
Integration
- REST APIs
- Webhooks
- Role-scoped service accounts
- Message queues
- Event streaming
Oversight
- Action audit logs
- Approval queues
- Alerting
- Guardrail policies
- Escalation rules
Industries
Where this matters most.
Oil and gas
Agents that prepare permit and inspection requests, held for approval before submission.
Pharmaceuticals
Case preparation for regulated reviews, with every step logged and a person signing off.
Chemicals and fertilizers
Maintenance and stock requests triaged and routed, with thresholds for manual review.
Related
Where this connects.
- AI Product DevelopmentTurn an AI idea into a product that people can rely on.
- Problem and data assessment
- Model selection and evaluation
- Production-ready delivery
- Generative AI ApplicationsAssistants and tools that draft, summarise and answer from your own content.
- Grounding on your documents and data
- Drafting and summarisation tools
- Guardrails and human approval
- Our platformStellar Core connects people, payroll and compliance.Explore Stellar Core
FAQ
Questions we hear.
Answers are drafted for review. Anything that needs a fact from Stellar is marked.
Have a business challenge worth solving?
Tell us what you're trying to fix. An engineer will reply, not a form robot.