Intelligence Hub | Category Market Intelligence

Decision at a glance

Top move

Thomson Reuters research shows many accounting firms use AI but fail to operationalise it, creating compliance and delivery gaps that translate into supplier execution risk for buyers

Key takeaways

Thomson Reuters research shows many accounting firms use AI but fail to operationalise it, creating compliance and delivery gaps that translate into supplier execution risk for buyers.[3]
Advisers report rising interest in voluntary liquidations as CGT reforms land, signalling changing demand mix from advisory toward winding-up and restructuring work which can shift supplier capacity and pricing.[2]
Practitioner fatigue and ‘whiplash’ from rapid tax changes is appearing in sector coverage, increasing turnover and reducing supplier bandwidth for complex, time‑sensitive engagements.[1]

Why this matters for the category manager

Thomson Reuters research shows many accounting firms use AI but fail to operationalise it, creating compliance and delivery gaps that translate into supplier execution risk for buyers. Advisers report rising interest in voluntary liquidations as CGT reforms land, signalling changing demand mix from advisory toward winding-up and restructuring work which can shift supplier capacity and pricing. Practitioner fatigue and ‘whiplash’ from rapid tax changes is appearing in sector coverage, increasing turnover and reducing supplier bandwidth for complex, time‑sensitive engagements. For buyers this means near-term supplier capability matters as much as headline pricing—AI governance, data handling and valuation capacity are now procurement levers to lock performance

What changed

New sector research (Thomson Reuters) highlights AI execution gaps across tax and audit practices—this is a fresh supplier capability risk not present in last brief.
Coverage now flags practitioner fatigue and a likely rise in voluntary liquidations, shifting demand composition toward advisory and winding‑up services beyond the earlier CGT pricing/re-scope signals.

Category impact

Cost / money

AI operational gaps can raise hidden costs: buyers may pay for manual review, remediation, or rework when vendors produce unverified outputs because firms are not yet delivering explainable, authoritative AI outputs.[3]
Shift toward MVLs and restructuring work will reallocate supplier time from recurring compliance to discrete advisory projects, increasing short-term advisory rates and pass-through charges because those engagements carry higher specialist effort.[2]
Practitioner burnout reduces available low‑cost delivery capacity, forcing buyers toward higher‑priced specialist teams or interim contractors to maintain service levels because incumbents may be at or near capacity.[1]

Supplier / commercial

Firms that can operationalise AI with verified outputs and data governance will gain leverage in renewals and RFx because they meet rising client expectations for trustworthy AI delivery.[3]
Vendors may narrow quote validity and require short mobilization windows as they prioritise restructuring and liquidation engagements, reducing buyer flexibility on timing and negotiation leverage.[2]
Expect suppliers to propose change‑order language for CGT-related valuation work to capture additional effort and liability exposure because the legislation increases complexity and review requirements.[2]

Safety / operations

Poor AI operationalisation increases compliance risk: unverifiable outputs and weak data controls can cause client-facing errors that require remediation and escalate sign-off chains because buyers still rely on vendor deliverables for filings.[3][1]
Compressed supplier capacity amid burnout and spike in advisory tasks may lengthen review cycles and increase error risk in time‑sensitive statutory work unless capacity is explicitly secured.[1][2]

What to watch

Watch for suppliers advertising AI capability without clear governance or explainability — these can be operational risks rather than cost savers if not contractually defined.[3]
Monitor incoming RFIs/RFPs for a rise in MVL and restructuring scope — a sudden increase changes panel balance and creates short-term scarcity for specialist valuation teams.[2]

Category manager actions

Action detail for this brief

Today's priorities

Inventory incumbent accounting, payroll and advisory suppliers for AI governance, explainability capabilities, and capacity for CGT-related advisory work.

Do this because Thomson Reuters research shows many firms use AI but fail to operationalise it and because CGT-driven advisory demand may reallocate supplier bandwidth, so you n...

Due 3d

high

Issue a short supplier questionnaire (RFI) requiring evidence of AI controls, data handling, verified output processes, and expected lead times for CGT work.

Do this because clients now expect verified AI outputs and because MVL and restructuring enquiries can change supplier availability, so documented controls and lead times reduce...

Due 21d

high

Update RFx and SOW templates to include explicit clauses on AI explainability, data governance, acceptance testing, and pricing triggers for CGT/valuation change orders.

Do this because weak AI governance and legislative-driven valuation work create compliance and cost exposure, and hard contract language limits downstream disputes and surprise...

Due 21d

high

Supplier radar

Accountantsdaily

high

Observed supplier signal

Firms that can operationalise AI with verified outputs and data governance will gain leverage in renewals and RFx because they meet rising client expectations for trustworthy AI delivery.

Commercial implication

Firms that can operationalise AI with verified outputs and data governance will gain leverage in renewals and RFx because they meet rising client expectations for trustworthy AI delivery.

Next step: Validate the source-backed signal with incumbents and alternates before the next award or pricing decision.

Accountantsdaily

high

Observed supplier signal

Vendors may narrow quote validity and require short mobilization windows as they prioritise restructuring and liquidation engagements, reducing buyer flexibility on timing and negotiation leverage.

Commercial implication

Vendors may narrow quote validity and require short mobilization windows as they prioritise restructuring and liquidation engagements, reducing buyer flexibility on timing and negotiation leverage.

Next step: Validate the source-backed signal with incumbents and alternates before the next award or pricing decision.

Accountantsdaily

high

Observed supplier signal

Expect suppliers to propose change‑order language for CGT-related valuation work to capture additional effort and liability exposure because the legislation increases complexity and review requirements.

Commercial implication

Expect suppliers to propose change‑order language for CGT-related valuation work to capture additional effort and liability exposure because the legislation increases complexity and review requirements.

Next step: Validate the source-backed signal with incumbents and alternates before the next award or pricing decision.

Negotiation levers

Lever

Inventory incumbent accounting, payroll and advisory suppliers for AI governance, explainability capabilities, and capacity for CGT-related advisory work.

Use when

Do this because Thomson Reuters research shows many firms use AI but fail to operationalise it and because CGT-driven advisory demand may reallocate supplier bandwidth, so you n...

Expected outcome

Supplier capability matrix highlighting AI governance readiness and CGT advisory capacity

high confidence

Lever

Issue a short supplier questionnaire (RFI) requiring evidence of AI controls, data handling, verified output processes, and expected lead times for CGT work.

Use when

Do this because clients now expect verified AI outputs and because MVL and restructuring enquiries can change supplier availability, so documented controls and lead times reduce...

Expected outcome

Standardised RFI responses that can be used in shortlisting and contracting decisions

high confidence

Lever

Update RFx and SOW templates to include explicit clauses on AI explainability, data governance, acceptance testing, and pricing triggers for CGT/valuation change orders.

Use when

Do this because weak AI governance and legislative-driven valuation work create compliance and cost exposure, and hard contract language limits downstream disputes and surprise...

Expected outcome

Revised sourcing templates that force disclosure of AI controls and valuation pass-through rules

high confidence

Talking points

Thomson Reuters research shows many accounting firms use AI but fail to operationalise it, creating compliance and delivery gaps that translate into supplier execution risk for buyers.

Advisers report rising interest in voluntary liquidations as CGT reforms land, signalling changing demand mix from advisory toward winding-up and restructuring work which can shift supplier capacity and pricing.

Practitioner fatigue and ‘whiplash’ from rapid tax changes is appearing in sector coverage, increasing turnover and reducing supplier bandwidth for complex, time‑sensitive engagements.

Recommended actions

Do now

Inventory incumbent accounting, payroll and advisory suppliers for AI governance, explainability capabilities, and capacity for CGT-related advisory work.
Why: Do this because Thomson Reuters research shows many firms use AI but fail to operationalise it and because CGT-driven advisory demand may reallocate supplier bandwidth, so you n...
Owner: Category
Expected outcome: Supplier capability matrix highlighting AI governance readiness and CGT advisory capacity
[3][2]

Next few weeks

Issue a short supplier questionnaire (RFI) requiring evidence of AI controls, data handling, verified output processes, and expected lead times for CGT work.
Why: Do this because clients now expect verified AI outputs and because MVL and restructuring enquiries can change supplier availability, so documented controls and lead times reduce...
Owner: Contracts
Expected outcome: Standardised RFI responses that can be used in shortlisting and contracting decisions
[3][2]
Update RFx and SOW templates to include explicit clauses on AI explainability, data governance, acceptance testing, and pricing triggers for CGT/valuation change orders.
Why: Do this because weak AI governance and legislative-driven valuation work create compliance and cost exposure, and hard contract language limits downstream disputes and surprise...
Owner: Contracts
Expected outcome: Revised sourcing templates that force disclosure of AI controls and valuation pass-through rules
[3][2]

Watch

Negotiate panel or retainer terms with providers that demonstrate both AI operational maturity and valuation capacity, including SLAs for explainability, response times, and def...
Why: Do this because vendors with those capabilities will be scarce as advisory demand shifts, and pre‑negotiated SLAs transfer execution risk and price certainty back to the buyer.
Owner: Contracts
Expected outcome: Preferred panel agreements with SLAs for AI output verification and valuation engagements
[3][2]
Pilot an internal audit of a sample of vendor‑produced AI outputs and recent advisory deliverables to validate quality and remediation effort assumptions before wider rollouts.
Why: Do this because anecdotal sector reports indicate execution gaps and because validating vendor outputs reduces downstream compliance and remediation costs.
Owner: Ops
Expected outcome: Audit findings report that identifies remediation hotspots and informs contracting or SLAs
[3][1]

What to watch

Watch for suppliers advertising AI capability without clear governance or explainability — these can be operational risks rather than cost savers if not contractually defined
Monitor incoming RFIs/RFPs for a rise in MVL and restructuring scope — a sudden increase changes panel balance and creates short-term scarcity for specialist valuation teams
Watch for suppliers advertising AI capability without clear governance or explainability — these can be operational risks rather than cost savers if not contractually defined.: Watch for suppliers advertising AI capability without clear governance or explainability — these can be operational risks rather than cost savers if not contractually defined
Monitor incoming RFIs/RFPs for a rise in MVL and restructuring scope — a sudden increase changes panel balance and creates short-term scarcity for specialist valuation teams.: Monitor incoming RFIs/RFPs for a rise in MVL and restructuring scope — a sudden increase changes panel balance and creates short-term scarcity for specialist valuation teams
Thomson Reuters research shows many accounting firms use AI but fail to operationalise it, creating compliance and delivery gaps that translate into supplier execution risk for buyers
Advisers report rising interest in voluntary liquidations as CGT reforms land, signalling changing demand mix from advisory toward winding-up and restructuring work which can shift supplier capacity and pricing
Practitioner fatigue and ‘whiplash’ from rapid tax changes is appearing in sector coverage, increasing turnover and reducing supplier bandwidth for complex, time‑sensitive engagements
For buyers this means near-term supplier capability matters as much as headline pricing—AI governance, data handling and valuation capacity are now procurement levers to lock performance

Market pulse

Index	Latest	Change	As of
Accenture (ACN)	345	+0.00 (+0.00%)	Jun 24, 2026, 10:12 PM
ADP (ADP)	245	+0.00 (+0.00%)	Jun 24, 2026, 10:12 PM
Robert Half (RHI)	72	+0.00 (+0.00%)	Jun 24, 2026, 10:12 PM
S&P 500 (SPX)	5,125 pts	+0.00 (+0.00%)	Jun 24, 2026, 10:12 PM

Robert Half: Recruitment market signal: tighter talent pools increase contractor and interim costs for accounting and advisory delivery
ADP: Payroll/HR vendor signal: changes to payroll and superannuation processing increase vendor configuration work and pass-through exposure

Evidence and sources

Inline citations jump here. Expand a source to read stored evidence excerpts.

[1] Accountants must look after themselves against ‘whiplash’ of tax reforms

accountantsdaily.com.au · Jun 24, 2026

Original linkExpand

Source excerpts

For accountants, Lennon said, it’s important to recognise that constant change can be exhausting. As such, “leaning on professional networks, sharing knowledge, and focusing on what can be controlled, will be critical for maintaining both service standards and wellbeing”

“Not every budget measure, tax reform, or regulatory update, affects every business

“Not every budget measure, tax reform, or regulatory update, affects every business. Best practice is understanding your client base well enough to filter the noise, staying across developments as they evolve and communicating early rather than scrambling at lodgement time,” she said

Open original source

[2] Voluntary liquidations likely to spike post-passage of CGT reforms, partner says

accountantsdaily.com.au · Jun 24, 2026

Original linkExpand

Source excerpts

“The goal isn’t to rush into decisions based solely on proposed tax changes,” Moore said

” Moore identified five questions accountants should consider regarding potential MVLs, including whether the company still serves a genuine, commercial purpose; whether it holds pre-20 September 1985 assets or significant unrealised capital gains; whether the structure is likely to operate as intended under the reforms; whether there is any retained profits, surplus assets or accumulated wealth trapped within the company, and whether an MVL would help achieve the client’s succession or wealth transfer

Continuing a business may not be worth increased administration costs and complexity associated with the reforms, and accountants should prepare accordingly, one expert has said

Open original source

[3] ‘Almost right isn’t good enough’: AI warning to accountants

accountantsdaily.com.au · Jun 24, 2026

Original linkExpand

Source excerpts

New research from Thomson Reuters highlights mounting pressure across the tax and audit profession, as firms struggle to convert AI adoption into measurable value. While most professionals are already using AI tools, many organisations are failing to operationalise them effectively, creating risks around compliance, data governance and client delivery

The research warned that up to $143 billion in client revenue is at risk in the US alone if accounting, tax, and related professional services firms fail to implement AI effectively and meet rising client expectations for AI-driven value delivery

The research warned that up to $143 billion in client revenue is at risk in the US alone if accounting, tax, and related professional services firms fail to implement AI effectively and meet rising client expectations for AI-driven value delivery. Steve Hasker, president and chief executive of Thomson Reuters, said: “Firms that are operationalising AI are pulling ahead

Open original source

[4] Robert Half

finance.yahoo.com · n.d.

Original linkExpand

No stored excerpt is attached to this source.

Open original source

[5] ADP

finance.yahoo.com · n.d.

Original linkExpand

No stored excerpt is attached to this source.

Open original source

Reassess supplier readiness as AI and CGT reshape accounting services

Decision at a glance

What changed

Category impact

Cost / money

Supplier / commercial

Safety / operations

What to watch

Action detail for this brief

Today's priorities

Supplier radar

Negotiation levers

Talking points

Recommended actions

Do now

Next few weeks

Watch

Top stories

‘Almost right isn’t good enough’: AI warning to accountants

Voluntary liquidations likely to spike post-passage of CGT reforms, partner says

Accountants must look after themselves against ‘whiplash’ of tax reforms

Market pulse

Evidence and sources