Agentic AI & Intelligent Automation.

Integration of agents with Power Automate, Logic Apps, Temporal or equivalent orchestration platforms so agents operate inside existing process infrastructure.

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63SERVICES IN THIS PRACTICE

4SPECIALIST SUB-PRACTICES

Fixed price or milestone basedDELIVERY MODEL

The problems this practice exists to solve.

Knowledge work absorbing skilled staff time on repeatable tasks

AI pilots that impress in demonstration but never reach production

No safe way to let an AI system take an action rather than suggest one

Automation that breaks whenever an underlying system changes

HOW THIS PRACTICE IS ORGANISED

4 specialist areas.

Pick the one that matches your problem, or search the full list below.

2.1Agent Design & BuildAgent design specification covering role, scope, autonomy tier and permitted actions23 SERVICES· 19 NEW 2.2Packaged Departmental AgentsConfigured agent deployed into the client's environment22 SERVICES· 22 NEW 2.3AgentOpsInstrumentation and telemetry across the agent estate10 SERVICES· 10 NEW 2.4Business Process AutomationProcess assessment and automation opportunity map8 SERVICES

Every service in this practice.

63 SERVICES · 51 NEW FOR 2026-27

SEARCH THIS PRACTICE

All 63 services, grouped by sub-practice

SUB-PRACTICE 2.1Agent Design & Build23 SERVICES19 NEWExplore Agent Design & Build ›

Workflow-Engine IntegrationNEWIntegration of agents with Power Automate, Logic Apps, Temporal or equivalent orchestration platforms so agents operate inside existing process infrastructure.Tool-Use & Function-Calling DesignNEWDefinition of the tool surface an agent may call, with schemas, validation, rate limits and failure handling.Task-Agent DevelopmentNEWBuild of a single-purpose agent that completes one well-defined task reliably and hands back to a human or another system.Role-Owning Agent DevelopmentNEWBuild of an agent that owns a persistent business outcome rather than a single task, with memory, context and accountability for a defined scope of work.Multi-Agent OrchestrationNEWDesign and implementation of systems where several specialised agents collaborate, delegate and hand off work under a supervising controller.Model Context Protocol (MCP) Server DevelopmentNEWBuild of MCP servers that expose enterprise systems, data and tools to AI agents through a standard, governed interface.MCP Tool & Connector DevelopmentNEWDevelopment of individual tools and connectors that give agents controlled access to specific applications, databases and services.Legacy RPA-to-Agent MigrationNEWAssessment and migration of brittle robotic process automation into resilient agent-based automation, retiring screen-scraping dependencies.Intelligent AutomationAutomation of end-to-end business processes combining workflow orchestration, document intelligence, decisioning and human approval.Human-in-the-Loop Approval Gate DesignNEWDesign of the points at which a human must review, approve or reject agent actions, and the interface through which they do it.Governed Write-Back EngineNEWControlled, auditable write access from agents into ERP, CRM, HR, finance and banking systems, with approval gates and full transaction logging.AI PodsA dedicated, cross-functional pod of AI engineers, data engineers and a solution architect assigned to a client on a monthly capacity basis.AI Agents, Workflows & Agentic OperationsImplementation of production agent workflows integrated with enterprise systems, including orchestration, monitoring and operational handover.Agent-to-Agent (A2A) Protocol ImplementationNEWImplementation of standardised agent-to-agent communication so that agents built by different teams or vendors can interoperate safely.Agentic AI & AutomationDesign and delivery of autonomous and semi-autonomous AI systems that execute multi-step business processes under defined oversight.Agent Use-Case Discovery & PrioritisationNEWStructured identification and scoring of candidate agent use cases by value, feasibility, data readiness and risk exposure.Agent State & Session ManagementNEWImplementation of durable state so long-running agent processes survive interruption, restart and handover.Agent Simulation & Sandbox EnvironmentsNEWIsolated environments where agents can be tested against realistic data and systems before being given production access.Agent Registry DesignNEWThe catalogue that records every agent, its owner, its permissions, its version and its operating status — the control point for an agent estate.Agent Planning & Reasoning DesignNEWDesign of how an agent decomposes a goal into steps, selects tools, evaluates progress and recovers from failure.Agent Memory ArchitectureNEWDesign of short-term, long-term and episodic memory so an agent retains relevant context across sessions without accumulating risk.Agent Escalation & Fallback DesignNEWDefinition of what an agent does when it is uncertain, blocked or out of scope, including escalation routing and safe degradation.Agent Design & BlueprintingNEWSpecification of each agent's role, scope, permitted actions, autonomy tier, escalation paths and success measures before development begins.

SUB-PRACTICE 2.2Packaged Departmental Agents22 SERVICES22 NEWExplore Packaged Departmental Agents ›

SUB-PRACTICE 2.3AgentOps10 SERVICES10 NEWExplore AgentOps ›

Agent Observability & TracingNEWInstrumentation that records every agent decision, tool call and action so behaviour can be reconstructed and explained after the fact.Agent Evaluation HarnessNEWA repeatable test framework measuring task success rate, action accuracy, escalation rate and cost per outcome against golden datasets.Agent Regression TestingNEWAutomated testing that detects behavioural drift when a model, prompt, tool or data source changes.Agent Performance BenchmarkingNEWComparative measurement of agent performance against human baselines and against alternative model or design choices.Agent Cost Management & Token FinOpsNEWMonitoring and optimisation of inference, tool and infrastructure cost per agent and per outcome, with budget alerting.Agent Version Management & RollbackNEWControlled release, versioning and rapid rollback of agents, prompts and tool definitions.Agent Incident ResponseNEWDefined procedures, tooling and on-call arrangements for agent malfunction, unsafe output or unauthorised action.Agent SLA Definition & ReportingNEWAgreement and reporting of service levels for agent availability, accuracy, escalation rate and resolution time.Outcome-Based / Results-as-a-Service MeteringNEWThe measurement and billing infrastructure that allows agent services to be charged per completed outcome rather than per hour or per seat.Agent Decommissioning & RetirementNEWControlled withdrawal of an agent from service, including permission revocation, data handling and knowledge transfer.

SUB-PRACTICE 2.4Business Process Automation8 SERVICESExplore Business Process Automation ›

Back-Office Process AutomationAutomation of repetitive administrative processes across finance, HR, procurement and operations.Document ProcessingAutomated extraction, classification and validation of information from structured and unstructured documents.Invoice AutomationEnd-to-end automation of invoice capture, coding, matching, approval and posting.Reporting AutomationAutomated assembly, validation and distribution of recurring management and regulatory reports.CRM AdministrationOngoing configuration, data hygiene, workflow maintenance and user support for a customer relationship management platform.Customer-Service WorkflowsDesign and automation of service processes covering intake, triage, resolution, escalation and follow-up.Workflow OptimisationAnalysis and redesign of business workflows to remove handoffs, delays and rework before automation is applied.Process OptimisationMeasurement and improvement of end-to-end process performance using process mining and structured redesign.

What we deliver.

Agent design specification covering role, scope, autonomy tier and permitted actions

Working agent integrated with the client's systems of record

Human approval gates and escalation paths

Full action and decision logging for audit

Evaluation results against agreed success measures

Operational runbook and knowledge transfer

The outcomes that follow.

Work completed rather than merely recommended

Skilled staff time returned to higher-value activity

Consistent, logged and reviewable execution

A bounded, governable footprint rather than uncontrolled autonomy

A repeatable pattern that can be extended to the next process

How every engagement runs.

01Discoverconfirm objectives, stakeholders, constraints and success measures

02Assessreview current systems, data, controls and delivery readiness

03Designprepare the target design, backlog, governance and implementation plan

04Validatetest the priority requirements through a prototype, pilot or controlled design review

05Implementconfigure, integrate, test and deploy the approved solution

06Enabletrain users, transfer knowledge and establish operating procedures

07Optimisemonitor adoption, performance, cost, quality and improvement opportunities

BUILT FORBanks, insurers, superannuation funds and professional-services firmsGovernment agencies and regulated public-sector bodiesConstruction, engineering and infrastructure contractorsLarge enterprises and mid-market organisations undergoing modernisation