01
Research and preparation
Gather account, application or case evidence and turn it into a useful starting point for the person making the decision.
Agentic Workflow AutomationWork that moves forward.
Work that moves forward.
With control built in.
We design and implement AI workflows that research, prepare, coordinate and act across your business systems. Your team sets the rules, reviews the exceptions and keeps control of consequential decisions.
Case work · approvals · connected systems
Related workNavero2 to 4 weeksto a focused working proof
Senior engineeringresponsible for the implementation
Magus.AGENTIC WORKFLOWS
An agentic operating flow
ExampleIncoming workBusiness contextNext action
01
PrepareResearch and evidence checks
02
CoordinateTasks and systems connected
03
ApprovePeople decide at the right points
One connected process, with clear boundaries.
Gather the context and prepare the work.
01 · THE WORK
Built around the way your business works
We design and implement AI workflows that research, prepare, coordinate and act across your business systems. Your team sets the rules, reviews the exceptions and keeps control of consequential decisions.
02 · THE IMPLEMENTATION
Where we put it to work
02
Operational coordination
Route requests, collect missing information and keep owners, deadlines and status in step across systems.
03
Controlled actions
Prepare updates, communications or next steps, with approval wherever the business needs it.
03 · THE IMPLEMENTATION
What the implementation includes
01
Understand the process
Map the records, rules, exceptions and people involved before choosing where AI belongs.
02
Build the working flow
Connect the systems, implement the agents and make failures and review points visible.
03
Prove and operate
Test real cases, compare quality and effort, then add monitoring and support for production.
IMPLEMENTATION EXAMPLE
Onboarding checks with evidence behind every finding
A new business account enters the onboarding queue.
THE EVIDENCE
What the system needs
- Application and submitted documents
- Company registry and ownership records
- Business website and approved screening sources
THE CHECKS
What this example checks
- Match the company across records, rather than trusting the name alone.
- Run separate checks for incorporation, address, trading activity and document consistency.
- Return supported findings or an explicit uncertainty; conflicting evidence stays visible.
THE WORKING RESULT
What reaches the team
A review pack with a finding, source and explanation for each check.
The decision boundaryThe analyst accepts, rejects or requests more evidence. The agent does not open the account.
WHAT THIS EXAMPLE WOULD TEST
Replay previously reviewed cases. Compare evidence coverage, missed discrepancies, analyst corrections and time to a reviewable file.
Illustrative implementation scope. This describes a possible build, rather than a claimed client result.
05 · THE WORK
A practical first project
The first workflow could be lead research, onboarding evidence or a service request. We choose it around recurring volume, accessible data and a result your team can judge.
A focused proof of concept ships in 2 to 4 weeks. Production scope follows the evidence, including integrations, testing, rollout and support.
SOLUTIONS WE BUILD
From the service to the system.
AI Agents
AI agents for research, case preparation and controlled actions across your business systems.
Conversational Voice AI
Voice AI for enquiries, service and operational conversations, connected to your records and team.
Dashboards, Integrations & Workflow Systems
Connected systems for operational visibility, reliable integrations and clear ownership of work.
YOUR NEXT STEP
Which process needs more than another manual handoff?
Bring us one workflow, real examples and the people who know the work. We’ll identify a practical first build.