Agentic AI · GBS & GCC Intelligence

Where agents do the work.

AgentShift maps every activity in your shared-services operation to its real agentic-AI potential — each one scored, tiered, and grounded in 250+ production deployments. Not a hype deck. A decision map for what agents run today, what they assist, and what stays human.

Explore the matrix → See how it works

Functions & sectors

Published modules

200+

Scored agent use cases

250+

Vendor cases calibrated

The question it settles

Every GBS leader is asked the same question.

“What can AI agents actually do for us?” The usual answers are a vendor pitch or a gut feel. AgentShift replaces both with evidence.

It is an agentic-AI opportunity diagnostic for Global Business Services and Global Capability Centres. It takes a function — Finance, HR, an entire industry GCC — breaks it down to its real activities, and scores each one for how feasibly an AI agent can perform it.

The output isn’t an opinion. It’s a map: every activity placed by score, sorted into where agents lead, where they assist, and where people stay in charge — with the value, risk, and vendor maturity attached.

Activity decomposition

Functions broken to L1 domains → L2 processes (Finance = 68, HR = 54).

Agent Impact Score (0–10)

Transaction intensity, decision complexity, regulatory blast radius & vendor maturity.

Three-tier classification

Agent-Core · Agent-Augmented · Human-Core — the role the agent plays.

250+ vendor-case calibration

Scored against what is actually shipping in production, not what’s possible in theory.

What it answers

Six questions, one evidence base.

If you’re weighing agentic AI for a shared-services or GCC operation, these are the questions on the table. AgentShift answers each at the activity level.

Which activities can agents run today?

The Agent-Core set — high-volume, bounded work where the agent becomes the worker, with mature tooling behind it.

Where do agents replace people — and where do they only assist?

The line between Agent-Core, Agent-Augmented and Human-Core, drawn per activity rather than per slogan.

How much effort and cost can we realistically take out?

Effort displaced and capacity released per activity, rolled up to a defensible business-case range.

Is the vendor market mature enough to rely on?

A Vendor Maturity read on every use case — calibrated against 250+ production deployments.

Where do we start, and in what sequence?

Tiering becomes a roadmap: Agent-Core first, then Augmented, with the harder calls staged deliberately.

What’s the risk and governance profile?

A Regulatory Blast Radius score on each activity, so autonomy is granted by risk, not by enthusiasm.

How it works

Decompose. Score. Classify. Sequence.

The same four-step method runs across every function and sector — so a Finance map and an Insurance GCC map are directly comparable.

Decompose

Break the function into its real activities — L1 domains down to L2 processes — the unit at which agent feasibility is actually decided.

68 Finance · 54 HR processes

Score

Rate each activity on the AgentShift Index: transaction intensity, decision complexity, regulatory blast radius and vendor maturity.

Agent Impact Score · 0–10

Classify

Sort each activity into Agent-Core, Agent-Augmented or Human-Core — and into a work-movement zone for the GCC.

3 tiers · 5 feasibility zones

Sequence

Turn the map into a roadmap and a business case — highest-value, lowest-risk activities first, the rest staged by confidence.

Roadmap · value & risk

The classification model

Agent-Core, Agent-Augmented, Human-Core.

Every scored activity lands in one of three tiers — the role the agent plays. These are the colours you’ll see throughout every module.

Score 8.0 – 10

Agent-Core

The agent is the worker

High transaction intensity, low decision complexity, mature tooling. The process is redesigned around the agent; people move to exceptions and oversight.

60–80% of effort displaced

Score 5.0 – 7.9

Agent-Augmented

Humans lead, agents assist

Agents take the sub-tasks; people own judgement and exceptions. The workflow is redesigned around the pairing rather than handed over.

30–50% productivity gain

Score 0 – 4.9

Human-Core

Agents on the periphery

High decision complexity or regulatory exposure. Invest in human capability and use agents as tools — drafting, summarising, checking.

10–20% efficiency uplift

Lower agent impact · invest in peopleHigher agent impact · agent-led

Feasibility zones · GCC work movement

Not just “can an agent do it” — what do we do with the work.

The tier tells you the agent’s role. The feasibility zone tells you the move: keep it, lift it to the GCC, hand it to an agent now, wait for the market, or run it as a hybrid. Each activity is scored on transaction intensity, decision complexity and regulatory exposure.

Keep

Stays where it is, as it is. Low feasibility, high judgement, or too tightly coupled to move.

Retain in place

Agent-Direct

Handed to an agent now. Mature tooling, bounded task, acceptable risk — the fastest value.

Agent runs it

Wait-then-Agent

Right candidate, market not ready. Re-score as vendor maturity rises; agentify on a trigger.

Stage for later

Hybrid

Agent and human together — agent on the sub-tasks, person on the decision and the exceptions.

Pair human + agent

GCC-Lift

Centralise to the Global Capability Centre — standardise first, then agentify at scale.

Move to the GCC

VIEW LAYERS: Agent ImpactTransactionDecisionReadinessOffshoringFeasibility ★Savings MapCapacity ReleasedEconomics

AgentShift feasibility treemap — every department scored and colour-coded by agent feasibility

The Feasibility layer — a live treemap of a GCC, every department scored 0–10Green = lower feasibility (human-core) · Red = higher feasibility (agent-direct). Tile size = workforce weight.

AgentShift feasibility distribution and treemap dashboard

Feasibility distribution & treemap

Inside every module the same engine drives a live dashboard. Switch the layer — Agent Impact, Decision, Readiness, Offshoring, Feasibility — and the treemap recolours. Switch the transform — Savings Map, Capacity Released, Economics — and it reads out value.

Filter by GCC size, parent FTEs, cost base, location and department to model your organisation, then read the net savings, capacity released and upskill potential straight off the map.

Explore the modules

Two axes: functions across, sectors down.

AgentShift runs along two dimensions. Functions (Finance, HR, Procurement) are horizontal — they apply to any company. Sectors (Banking, Insurance, and more) are whole-GCC industry views. Click a function row or a sector column to open its module.

Mapped & scored

On roadmap

Sector modules present a whole-GCC view spanning these functions plus industry-specific processes.

Where agents do the work.

Which activities can agents run today?

Where do agents replace people — and where do they only assist?

How much effort and cost can we realistically take out?

Is the vendor market mature enough to rely on?

Where do we start, and in what sequence?

What’s the risk and governance profile?

Decompose

Score

Classify

Sequence

Agent-Core

Agent-Augmented

Human-Core

Keep

Agent-Direct

Wait-then-Agent

Hybrid

GCC-Lift

Finance Agent Taxonomy

AgentShift Finance

HR Agent Taxonomy

AgentShift HR

Banking GCC

Capital Markets

Insurance GCC

Real Estate GCC

Retail & CPG

Energy & Natural Resources