Service Detail
swarm-consulting
We provide company-wide agent organisation design and execution consulting for enterprise AI transformation.
We don't let AI adoption end with a tool purchase — we turn it into a structure your organisation can keep operating.
We design AI agent roles and collaboration systems by function.
We define the touchpoints where existing systems meet AI agents.
We codify review, approval, and failure-recovery criteria as operating rules.
Start with work that repeats and has a reviewable definition of done. We map frequency, inputs, exceptions, and approval points to select a small candidate. Then we diagnose the current flow and set the pilot boundary and human responsibility.
When a purchased AI tool is not used, we first check whether an owner and an approval flow were defined before the tool. Adoption stalls when nobody knows who reviews the result or how to recover from a failure. Consulting defines roles, standards, and operating responsibility before connecting the necessary tools.
The effect is testable when workflow diagnosis leads to a small pilot and operating standards. We do not promise enterprise-wide automation at once; we choose work to test, define human approval points, and carry the learning into the next step. The size of the effect depends on the work and the organisation.
AI may be worth testing when throughput and consistent rules dominate; hiring may come first when accountability, relationships, or high-risk judgement dominate. We do not apply one answer to every role, and instead examine exceptions, the accountable owner, and the need for face-to-face collaboration. That becomes the boundary between AI and human work.
swarm-consulting does not publish a fixed price. We review the number and complexity of workflows, systems to connect, data and security boundaries, and the pilot and operating-design scope before preparing a tailored estimate. We confirm the scope in a meeting first, then explain the cost.
We do not present unverified client stories or performance numbers. We can describe verifiable work Swarmphony applies to its own site, such as approval-led content, search, reporting, and backup flows. Feasibility for another organisation is designed after reviewing its work and access permissions.
AI agent organisation design is not just model selection; it sets roles, collaboration, approvals, and failure recovery as an operating structure. We define ownership by workflow, hand-off rules between agents, and the points where people intervene. The rollout is staged around the existing systems and organisation.
We first study your existing workflows, then design agent roles, and finally deploy them to fit your actual operating environment.
We analyse existing work and decision-making flows.
We define agent roles, review criteria, and integration points.
We deploy into the operating environment and establish stabilisation criteria.
Custom pricing - determined in a meeting
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