System connected
Agents work with the applications your teams already use.
AI Agents & Workflow Automation
Design AI agents and automation flows that coordinate real work across your business systems.
We connect AI agents to email, CRM, ERP, databases and operational tools so they can read, decide, update records and complete repeatable tasks with approval controls and safe fallback paths.
Business first scoping
Clear outputs and next steps
Can continue into implementation
Human controlled
Important steps can stay behind approval or review gates.
Resilient flows
Retries, fallbacks and exception handling improve dependability.
Auditable execution
Track actions, tool calls and outcomes across the process.
The business problem
Remove repetitive coordination work without losing control.
Many workflows involve reading unstructured input, finding context, updating systems and routing work to the right person. We automate the predictable parts while keeping people in control of the critical ones.
What this service changes: it converts an unclear opportunity into a structured, reviewable path with clear decisions, owners and outputs.
What we do
Focused capabilities that move the service from discussion to action.
Each capability addresses a specific decision, dependency or delivery need. Use them independently or combine them into one complete engagement.
01
Workflow mapping
Define states, triggers, approvals and exception paths clearly.
02
Tool connected agents
Give agents controlled access to business applications and APIs.
03
Orchestration logic
Coordinate specialised agents, rules and deterministic services.
04
Input understanding
Handle emails, documents, requests and other unstructured inputs.
05
Approval and escalation design
Send the right cases to humans before sensitive actions occur.
06
Observability and improvement
Monitor failures, bottlenecks and output quality for ongoing refinement.
How the service comes together
An automation design that combines AI flexibility with workflow control.
The sequence creates visible decision points so your team knows what has been learned, what has been approved and what happens next.
- 01 Capture input
- 02 Retrieve context
- 03 Plan and act across tools
- 04 Request review where needed
- 05 Complete and monitor the workflow
What you receive
Decision ready outputs your team can use immediately.
The engagement produces practical artefacts, not only discussion. Outputs are structured to support approval, implementation and handover.
Output 01
Workflow design blueprint
Output 02
Connected agent implementation
Output 03
Approval and exception model
Output 04
System integrations
Output 05
Monitoring setup
Output 06
Operational handover
Delivery approach
Progress through visible decisions and working increments.
The exact timeline depends on scope, data and integrations. Every engagement is organised around evidence, review points and production readiness.
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01
Workflow discovery
Understand goals, constraints and the current operating context.
-
02
Prototype with controlled scope
Define the solution direction, priorities and success measures.
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03
Production build and integration
Produce and review the agreed working outputs with stakeholders.
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04
Monitoring and optimisation
Confirm handover, next phase actions and production readiness.
Related delivery evidence
Recruitment Automation Platform
Simplify Job Search was developed as a two sided job search and hiring platform that supports both candidates and recruiters. This case study focuses on the recruitment side platform, which helps HR teams, companies, freelancer recruiters,…
Read the case studySecurity and responsible operation
Controls and quality checks are designed into the engagement.
We adapt governance, review and operational controls to the service, workflow, users and level of risk involved.
- Credential and tool access control
- Approval requirements for sensitive actions
- Audit logging of agent activity
- Fallback and incident recovery design
Frequently asked questions
Questions teams ask before getting started.
Every engagement is shaped around the workflow, data, security and operating environment involved.
Can AI agents update systems directly?
Yes, but only within the permissions and safeguards we design. Critical actions can be kept behind human approval.
How is this different from standard automation?
Standard automation works best with fixed inputs. AI agents can interpret unstructured content and make limited contextual decisions within defined boundaries.
Can agents use multiple tools in one workflow?
Yes. We can orchestrate workflows across email, CRM, ERP, databases and custom APIs.
How do you handle exceptions?
We design exception states, fallback logic and escalation routes so operations stay reliable.
Start with the real requirement
Bring us the workflow, product or system you want to improve.
We will help identify the most practical first phase and the capabilities required to deliver it well.