Generative AI
Produces or transforms content: summaries, draft commentary, classifications and document explanations. Outputs require appropriate checks.

Useful AI starts with a defined business task.
We build Generative AI and purpose-built agents to interpret information, coordinate suitable work and support decisions with clear boundaries, oversight and accountability.
AI is not one solution. Different approaches suit different work, and some tasks are better served by ordinary workflow automation.
Produces or transforms content: summaries, draft commentary, classifications and document explanations. Outputs require appropriate checks.
Uses a defined objective, authorised information and tools to complete or coordinate a sequence of tasks within operating rules.
Several specialised agents coordinate under agreed handoffs, permissions and oversight when a single workflow would be inadequate.
Explore the distinction. The diagrams are reference patterns, not a mandatory architecture or a claim that more agents produce better results.
One agent accesses permitted information or tools to complete a defined task. Human approval is inserted where the decision warrants it.
The right use cases often involve information interpretation or coordination that rules alone cannot handle consistently.
Read, classify and extract relevant information from documents for checking and downstream workflows.
Prepare draft analysis, summaries or management commentary from approved sources and agreed instructions.
Agents can gather authorised context, organise defined actions and escalate exceptions that require human judgement.
Answer internal questions using approved business material, with clear source boundaries and review paths.
Business value depends on what an agent is permitted to access, do and decide.
Agree accessible systems, information sources, permissions and data handling considerations.
Define where approval is mandatory, how uncertainty is handled and when an agent must stop.
Capture suitable activity records, test behaviour and provide operating guidance for ongoing ownership.
A working capability supported by clear decisions, documented controls and practical handover. Deliverables are agreed to match the engagement.
Agreed objectives, tasks, handoffs and permitted actions.
A tested agent or agent workflow integrated with agreed systems.
Evaluation criteria, oversight paths, documentation and knowledge transfer.
Deterministic flows handle predictable actions. AI can help where language, context or judgement support is necessary.
Practical considerations before deciding what to implement.
Usually not as a starting assumption. A single agent or rules-based workflow may be simpler, easier to test and easier to maintain. Multiple agents should be justified by distinct responsibilities.
Permissions and decision boundaries are designed for each engagement. High impact or advice related decisions can require explicit human review and approval.
We identify relevant data handling and hosting considerations during solution planning and work with the client on agreed requirements. Legal or regulatory interpretations should be referred to qualified advisers.
Describe the task, information involved and the controls needed. We will help evaluate whether rules-based automation, AI or a combination makes sense.
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