Expertise / A closer look
AI Agents & Automation
Production AI and agents, scoped to how your business actually works — with a person in every consequential loop.
The opportunity
Make the next step
a better one.
Teams lose hours moving information between tools, cleaning catalogues, assembling research and repeating checks. Most agent projects fail on scope, data and unclear approval — not on the model. We start from one real task, prototype on sample data and keep every consequential decision human.
We scope one task and its source of truth first, then define permissions, review points, evaluation checks and recovery states before any model is connected. Tool and API integrations (including MCP-style tool access) are layered in with least privilege, and output is tested against edge cases with guardrails and audit trails.
- Working together
- Named delivery lead + team
- Timing
- Discovery + prototype in 2–4 weeks; rollout scoped after
What we deliver
Focused on the right things.
- Task, input and approval mapping
- Tool + API integrations with scoped, least-privilege permissions
- Review-first agent interfaces and audit trails
- Agent evaluation, guardrails and recovery states
What you take away
Something you can run.
- Workflow map with scope, permissions and review points
- Working prototype on sample data
- Review, approval and audit interfaces
- Evaluation plan, integration, docs and support handover
Explore the interaction
See a workflow unfold.
A working interface demonstration with sample data. Choose a task, follow its progress and review the proposed result.
See the system
think in steps.
Choose a workflow, inspect the sample input and review the proposed output. You make the final call.
Find inconsistencies in a small sample product catalogue.
Product: Wireless headphones · Category: Audio · Compatibility: missing · Related products use the Headphones category.
- 01Inspect sample product fields
- 02Compare naming and categories
- 03Prepare suggested corrections
Your review workspace.
Run the example to reveal the proposed changes.
This browser simulation demonstrates the workflow and interface. Its sample responses are predefined; it does not call an AI model, access a store or publish changes.
Before we begin
A little clarity
goes a long way.
01What do you need from us to get started?
A short description of the problem, a link to the current website or tool if there is one, and what a useful result would look like. You do not need a finished specification. We agree access, DPA/NDA and content requirements once scope is clear.
02Can you work with what we already have?
Yes. We start from your current setup and constraints. A focused improvement or integration may beat a rebuild — we'll explain options and tradeoffs with costed recommendations before you commit.
03How are cost, timeline and SLAs agreed?
After discovery we issue a scoped proposal: deliverables, milestones, timeline, support and SLA terms. Work begins on sign-off; any change is re-scoped in writing before additional work starts.
Connected expertise