PDF brief
Enterprise service transformation — architecture brief
Decision architecture, field-level profiling and the dual-track roadmap for a Fortune-100 life & annuities servicing workspace.
Media & Press
Publications, media and press
The public record in one place — writing, coverage, speaking, recognition and case materials — with biographies and facts for editors, event organizers and programme committees.
Publications
Writing in progress
Long-form work from The Constraint Premium. Titles are working titles; venues are named once a piece is accepted. Shorter essays appear under Insights.
Business book proposal · International prize for emerging business authors
The Constraint Premium
Why does value move?
In preparation2026Feature article · Peer-reviewed software-engineering publication
The semantic layer as control point
Where is the control point — and how do you instrument what it saves?
In preparationQ4 2026Viewpoint · Computing practitioners’ journal
Agents do the work; enterprise software keeps the rent
Where does the business land when machines do the work — and what would show it wrong?
In preparationQ4 2026Practice article · Practitioner journal
What dominates the bill of an agentic system
What dominates the bill of an agentic system, measured?
PlannedAfter Tier 1 measurements
Media
Media & commentary
Interviews, features and commentary in trade and business media.
Forthcoming
Coverage will be listed here with outlet, date and a link to the original.
Speaking
Speaking & podcasts
Keynotes, panels, workshops, webinars and podcast conversations.
Forthcoming
Talks and appearances will be listed here with event, date, role and recording where available.
Topics
Invite to speak- 01Control is the productGoverning AI agents inside regulated financial services — permission, audit and predictable cost.
- 02The screen opened on every callArchitecture lessons from life & annuity servicing, and why agents will multiply them.
- 03Sold, then deliveredPre-sales that stays accountable from the technical win through adoption.
- 04Quote where the distributor worksMulti-carrier comparative rating and the economics of insurance distribution.
- 05Define meaning onceACORD, FIBO and the semantic layer that makes enterprise AI auditable.
Recognition
Recognition
Awards, rankings, shortlists and fellowships.
Forthcoming
Recognition will be listed here with issuer, date and a link to the announcement.
Service
Peer review & judging
Service reviewing, judging and mentoring the work of others.
Forthcoming
Reviewing, judging and programme-committee roles will be listed here with venue and period.
Case materials
Briefs and blueprints
Anonymized one-page briefs behind the engagements. Client identities are withheld; briefs are shared on request with prospective clients, editors and reviewers.
PDF brief
Capital-lifecycle platform — engagement brief
Marketing, fundraising and execution for an alternative-investments firm, from pursuit through go-live.
PDF blueprint
Multi-carrier comparative rating — integration blueprint
Intake, pre-fill, rating-network orchestration and quote creation for P&C distribution.
Drawing set
The Constraint Premium — reference architecture sheets
The seven-layer stack, routing ladder and measurement programme as a set of reference sheets.
In preparationContext
Press kit
Biographies, portrait and facts
Approved for use in programmes, articles and introductions. Please use a biography verbatim or shorten it without changing figures.
Shiv Shankar Singh is a solutions engineering and pre-sales leader in insurance and capital markets. Across thirteen years at Deloitte Digital, New York Life, Salesforce and Mphasis Silverline, he has influenced, supported and originated more than $30M in enterprise revenue. He researches how AI can be governed inside regulated financial services.
Shiv Shankar Singh is a solutions engineering and pre-sales leader specializing in insurance and capital markets. He has held each seat at the enterprise-software table: implementation consultant at Deloitte Digital, lead solutions architect at New York Life, principal solutions engineer at Salesforce, and director at Mphasis Silverline, where he co-led the insurance practice, stood up a capital-markets practice and originated $6.3M in first-year revenue while carrying a $3.4M quota. At Salesforce he influenced $18.7M+ across 200+ opportunities in a representative fourteen-month window, including £5.9M+ on a London rotation. He is the author of The Constraint Premium, a research programme on where enterprise-software value settles when AI agents do the work, and holds an engineering degree from NIT Calicut.
Shiv Shankar Singh is a solutions engineering and pre-sales leader with thirteen years in enterprise technology for insurance and capital markets, and close expertise in banking and wealth & asset management. His career spans every seat at the enterprise-software table. At Deloitte Digital he delivered CRM and modernization programmes and built the practice’s early insurance industry-platform capability. At New York Life he led the ground-up service platform for a 900-user service organization — composing seven core systems, including mainframe policy administration, into the policy view opened on nearly every call — alongside the sales platform for an agency organization of 14,000+ daily users. As a principal solutions engineer at Salesforce he influenced $18.7M+ in enterprise revenue across 200+ opportunities in a representative fourteen-month window, including £5.9M+ while leading U.K. and European transformations on a 2022–23 London rotation. As a director at Mphasis Silverline he co-led the insurance practice, stood up a capital-markets practice, originated $6.3M in first-year revenue while carrying a $3.4M quota, and sold and then personally delivered an end-to-end capital-lifecycle platform for the alternative-investments arm of a U.S. life and retirement carrier. His current research, The Constraint Premium, examines why value in the agentic era accrues to the governed execution layer, and proposes metrics for the context cost that agentic systems leave unmeasured. He holds a B.Tech in Electronics & Communication Engineering from NIT Calicut and is completing a CPD-accredited board advisory and non-executive director programme.
Disclosures
Interests and sourcing
Shiv Shankar Singh was employed by Salesforce from 2021 to 2024 and by Mphasis Silverline, a Salesforce consulting partner, from 2024 to 2025. He holds no shares in, and has no current financial relationship with, Salesforce, Anthropic, NVIDIA or Amazon — companies discussed in his research.
Client, partner and product identities in engagement descriptions are anonymized. Figures are drawn from the author’s engagement records; revenue at the software vendor is described as influenced through pre-sales, and at the consultancy as originated through the services practice. Vendor-published and correlational data cited in the research are identified as such.