See where Gen AI is actually cutting delivery effort at the big providers
For delivery and strategy heads who need real productivity numbers, not vendor claims, before re-basing their own delivery model.
- Engagement type
- Team Pod
- Experts
- 3 experts
- Hours
- ~40
- Duration
- 4 weeks
What the client needed
A firm studying the market needed to know how the top IT service providers are embedding Gen AI and agentic AI into delivery: measured productivity gains by service line, how delivery pyramids and the onshore/offshore mix are changing, what is automated versus merely accelerated in application managed services, and where human validation stays mandatory.
The brief
The questions on the table
As the client wrote them, lightly shortened. Client and respondents are not named.
- Q1
Which delivery areas — apps, infra, cloud, digital engineering, manufacturing services — show the fastest adoption and return, and what productivity gains are actually measured?
- Q2
How are delivery pyramids (L1–L4) and the onshore/offshore mix being re-architected?
- Q3
In AMS, what is genuinely automated today versus only accelerated, where are AI outputs accepted with limited review, and what caps should apply to avoid overstating gains?
- Q4
What governance is emerging for agent-to-agent and agent-human workflows?
The hours
What the work involved
- 01
Consultation guide by service area
Cloud, custom applications, digital engineering, application management, testing, engineering and manufacturing services — with acceleration and automation asked separately.
- 02
Expert consults
Three leaders: a large-deal solutioning head, an AI centre-of-excellence head, a Gen AI practice builder — each on the areas they run.
- 03
Follow-up call
On digital-workplace and AMS acceleration and automation percentages, layer by layer.
- 04
Synthesis
Gains by service area with the caps that keep them honest; pyramid and shoring shifts; governance patterns.
Deliverables
What the client received
- Productivity gains by service areaWith acceptance caps.
- Delivery-pyramid and shoring shiftsWhat is changing and why.
- What is automated versus accelerated in AMSAnd where review stays mandatory.
- Governance for agent workflowsAgent-to-agent and agent-human.
- Consultation notesDe-identified.
The terms
What an engagement like this costs
You buy hours in blocks and can change the expert at the end of any block, at no extra cost. Longer projects run in stages: pause after a block, pick up the next stage when you are ready.
- Rate band
- $65–$250 /hr
- Senior specialists can be up to $500
- Hour blocks
- 1 · 2 · 5 · 10 · 20 · 50 · custom
- This engagement
- Team Pod · ~40 hours · 4 weeks
More in IT services
Re-basing your delivery model for Gen AI?
Describe what you needFor example: “We need measured Gen AI productivity numbers by service line and how the big providers are changing their pyramids.”
We aim to come back with matched experts within 24 to 72 hours.