Automate with a human in the loop
AI Agents & Automation
A scoped, tested and monitored automation with named data boundaries, integration control and practical human oversight.
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The intended outcome
A useful system that improves repeatable work without promising perfect accuracy, guaranteed savings or autonomous decision-making.
A good fit when
You know what needs attention.
- A repeatable process creates avoidable delay or errors
- Teams lose time to repetitive coordination work
- Information hand-offs are fragmented and inconsistent
What is included
The work you can expect.
- Process discovery and success criteria
- Risk, data and privacy mapping
- Named architecture and integration scope
- Representative prototype
- Human review, escalation and exception design
- Test cases and acceptance thresholds
- Quoted build and integration scope
- Logging, monitoring and failure alerts
- Manual fallback for unsupported cases
- Documentation and team training
- Ninety-day support and optimisation window
- Clear usage, ownership and change-control terms
What we track
The signs that tell us what to do next.
- Task completion rate
- Quality-assurance pass rate
- Human exception escalation rate
- Time returned
- Cost per completed task
Outside this scopeWhat is not included.
- A custom foundation model unless explicitly quoted
- High-impact decisions without a human review path
- Unlimited integrations or change requests
- Unlimited usage growth without scope recalculation
- Vendor, model or message usage fees
- Guaranteed uptime, accuracy or zero incidents
- Around-the-clock operational coverage unless explicitly quoted
- Financial, legal or compliance certification
What we need from youYour part of the work.
- Nominate a process and risk owner
- Provide lawful, minimised client data and privacy notices
- Supply controlled credentials and representative test cases
- Assign subject-matter reviewers for escalation and exception rules
- Confirm acceptance thresholds and exception rules
- Staff human-review and incident paths
- Monitor the live process after handover
Getting startedHow the first few weeks work.
- Confirm process volume, economic case and support priorities
- Map data, privacy, systems, risks and exclusions
- Agree acceptance tests, thresholds and human control points
- Issue the scoped quote with usage, ownership and support terms
Timing: Quoted three-month build and support window; milestones depend on the systems, data quality, test complexity and risk controls.
How the work runs
A clear rhythm from start to review.
- 01Discover
- 02Prototype
- 03Build
- 04Operate
Questions
A few things people often ask.
How does ai agents and automation start?
We begin with discovery, access and a written scope. Deliverables, responsibilities, timing, measurement and exclusions are clear before delivery starts.
What will it cost?
Every quote names the process, systems, data, integrations, human review, tests, fallback, support, usage and change-control boundary.
Can this work with our existing team and suppliers?
Yes. Social Loom can own a focused workstream or coordinate with your team and specialist partners. Every hand-off and review point is named in the scope.
Why is this quote-led?
Systems differ by process complexity, access, integration set and risk tolerance. A scoped quote gives a fair build and support boundary for your situation.
Where is privacy and data control handled?
We map data flow, exclusions, controls and responsibilities before build, and we keep sensitive data handling out of the signed scope unless it is included in writing.
How is human oversight built in?
We require explicit escalation and fallback rules before launch, with clear indicators when human intervention is required.
What does acceptance testing cover?
Acceptance tests include representative cases, exception handling, monitoring and support handover conditions rather than broad promises across every edge case.
What fees are separate?
Vendor, model and message usage fees are separate unless they are included in the quote, and any additional system coverage needs a quote amendment.
How do we avoid hidden scope growth?
Ownership, support window, usage and change-control terms are fixed in the quote and new scope is only added through a documented revision path.
Start a conversation
Talk through ai & automation.
Tell us what should work better. We will look at the gaps between attention, action and follow-through before recommending a scope.