AI & Agentic Finance

Move finance from automation to controlled autonomy.

HHS helps finance leaders identify where AI agents can improve performance, redesign the surrounding processes and controls, and move from isolated pilots to an implementation-ready operating model.

Outcome-ledValue before technology
Finance-specificProcess and control by design
Human-governedClear accountability and oversight
Implementation-readyFrom use case to operating model

Three connected services

Build the conditions for agentic finance to work.

Agentic AI changes more than a task. It changes how work is triggered, how decisions are made, where exceptions go and who remains accountable.

01 · Discover

Opportunity and readiness diagnostic

Identify where agentic AI can create material finance value and assess the process, data, control and organisational readiness to deliver it.

  • Use-case portfolio and value hypothesis
  • Readiness and constraint assessment
  • Prioritised implementation roadmap
03 · Mobilise

Pilot, governance and scale playbook

Turn the priority use case into a controlled pilot and establish the governance, measures and change approach needed to scale responsibly.

  • Pilot scope and success measures
  • Governance and risk framework
  • Adoption and scaling plan

Candidate use cases

Start with high-friction, repeatable finance work.

Each opportunity is tested for value, feasibility, control impact and readiness before a pilot is recommended.

  • Invoice exception investigation
  • Supplier enquiry handling
  • Collections prioritisation
  • Cash application support
  • Reconciliation investigation
  • FP&A variance analysis

The HHS perspective

An AI agent is only as effective as the operating model around it.

Technology may execute the activity, but finance still owns the outcome. Sustainable value depends on process standardisation, reliable data, explicit authority, embedded controls, exception management and accountable human oversight.

HHS connects these disciplines so the solution improves finance performance without weakening control.

A controlled route to value

Four decisions before an agent enters production.

  1. 01

    Where is the value?

    Define the business outcome, baseline and measurable benefit.

  2. 02

    What can it decide?

    Set boundaries, authorities and escalation triggers.

  3. 03

    How is it controlled?

    Design evidence, monitoring, access and human oversight.

  4. 04

    How will it scale?

    Build ownership, governance, change and continuous improvement.

A clear delivery model

Finance expertise first. Technology applied with purpose.

HHS leads the finance case, process and control design. Selected specialist technology partners can support platform configuration, integration, testing and technical assurance where required.

HHS leads

  • Finance process and use-case expertise
  • Opportunity prioritisation and business case
  • Workflow, control and approval design
  • Pilot mobilisation and programme oversight

Specialist partner supports

  • Agent platform and configuration
  • Technical integration and testing
  • Deployment and technical assurance
  • Platform maintenance and specialist support
MITSloan executive education

Informed by current executive education

AI strategy and agentic implementation, grounded in finance transformation.

HHS combines delivery experience with MIT Sloan executive education in AI business strategy and implementing agentic AI. This supports a practical, governed approach from opportunity selection through organisational adoption.

Start with the right opportunity

Identify where agentic AI can create measurable finance value.

Book a diagnostic discussion