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JPMorgan Chase & Co.

Largest US bank; ~$18B+ annual tech budget, AI at scale, CEO succession in view

JPMBanks/Diversified Banks(40101010)HQ New York, NYResearched Oct 25, 2026Unverified
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Largest US bank by assets (about $4T+), with four lines of business, Consumer & Community Banking (Chase), Commercial & Investment Bank (merged in 2024), Asset & Wealth Management, and Corporate. It has the industry's biggest technology budget and treats tech as a competitive weapon.

Talking points

  • "You've proven AI value at scale. The next step is redesigning end-to-end processes around agents, not tasks." Anchor on the $1.5-2B value claim and the CFO's cost-efficiency signal.
  • Apple Card migration is a high-stakes customer migration. Offer integration and migration factory experience from comparable card portfolio moves.
  • Capital relief from the lighter Basel III endgame raises the value of balance-sheet optimization and data-quality work.

Likely opportunities

  • Agentic AI operating model for operations, KYC and servicing, plus the AI governance and model-risk work that goes with it.
  • Apple Card program migration (customer, data, servicing and fraud) and card platform modernization.
  • Regulatory data lineage and trade surveillance remediation follow-ons. Cloud migration waves for remaining legacy apps.

Outreach plans

3 plans for the main opportunities, in outreach wave 1. All budgets, deal sizes and dates are planning estimates made from the public brief, not from client data or Accenture financials. Executive names are used only where the brief also names them; verify roles and names before outreach.

1Agentic AI operating model for operations, KYC and servicingAI & agentsIdentified$8M–$25M

The JPMorgan Chase & Co. brief flags this opportunity: Agentic AI operating model for operations, KYC and servicing, plus the AI governance and model-risk work that goes with it. Lead with a fixed-scope 6-week entry offer that proves value quickly, then grow it into a multi-wave agentic operations program with workforce transition and a managed run model.

From opportunity: Agentic AI operating model for operations, KYC and servicing, plus the AI governance and model-risk work that goes with it

Why now
Largest US bank; ~$18B+ annual tech budget, AI at scale, CEO succession in view.
Buyers
COO Jennifer Piepszak · Chief AI / Data Officer · CIO Lori Beer · CFO Jeremy Barnum
Our sponsor
Accenture Financial Services Operations MD, with the Data & AI lead as co-sponsor
Entry
A 6-week agentic operations diagnostic: map 3-5 high-volume processes, size the capacity release, and put one agent into production-grade pilot with controls and model-risk sign-off.. Existing CAL relationship. Account lead (Jonathan.M.Zandman) brokers the first meeting with COO Jennifer Piepszak, and the sponsor brings the point of view.
Proof points
Agentic AI operations case studies
Deal size$8M–$25M
Pursuit cost$185K
Win probability35%
Estimate: Estimate. Pursuit cost is about 37 person-weeks of account, sponsor and SME time at a blended $5,000 per person-week. The entry offer itself is a fixed fee of roughly $270k, or an Accenture investment if the pursuit is contested. The deal range is the 12-24 month follow-on (a multi-wave agentic operations program with workforce transition and a managed run model), scaled for an extra-large (G-SIB or global leader) client from a reference range of $8-25M. It is not based on client budget data. Win probability of 35% is a planning assumption for a Mega Diamond.

Outreach sequence

  1. Week 1Size the operations cost base and the capacity agentic AI could release, using public headcount and peer results. Map the buying group (COO Jennifer Piepszak, Chief AI / Data Officer, CIO Lori Beer) and known Accenture relationships.Account lead (Jonathan.M.Zandman) with an industry SME
  2. Week 2Confirm the sponsor, pick two reference clients, and line up support from the client's hyperscaler and LLM partners.Sponsor
  3. Week 3Reach COO Jennifer Piepszak with a one-page note on agentic AI operating model for operations, KYC and servicing, plus the AI governance and model-risk work that goes with it, through the account lead.Account lead (Jonathan.M.Zandman)
  4. Week 4-5Executive meetings with COO Jennifer Piepszak and the Chief AI / Data Officer: test the hypotheses and offer the entry offer.Sponsor and account lead
  5. Week 6-7Demo an operations agent on a process the client runs at scale, with the controls and workforce plan around it.Industry and technical SMEs
  6. Week 8Scope and price the entry offer with the client's working team; agree success measures.Pursuit lead
  7. Week 9-10Proposal review with the economic buyer (CFO Jeremy Barnum) and procurement.Sponsor
  8. Week 11-12Sign the entry offer and mobilize the 6-week team.Delivery lead
  9. Week 18Read out results and propose the follow-on: a multi-wave agentic operations program with workforce transition and a managed run model.Sponsor and delivery lead

Timeline

Nov 2026Mar 2027
Prepare and engageFirst executive meeting held with COO Jennifer Piepszak
ShapeEntry offer scoped with the client's working team
ProposeEntry offer signed
Deliver entry offerResults read out and follow-on proposal submitted
ExpandFollow-on program signed

Success measures

  • Diagnostic signed
  • Pilot process cost or cycle time down 30%+ (target)
  • Scaled program funded within two quarters

Risks

  • Large in-house AI teams want to build alone
  • Workforce and model-risk concerns slow the move from pilot to production
  • Competition (from the brief): Builds a lot in-house with 60k+ technologists.
2Apple Card program migrationPaymentsIdentified$10M–$30M

The JPMorgan Chase & Co. brief flags this opportunity: Apple Card program migration (customer, data, servicing and fraud) and card platform modernization. Lead with a fixed-scope 5-week entry offer that proves value quickly, then grow it into a multi-wave payments platform migration and modernization program.

From opportunity: Apple Card program migration (customer, data, servicing and fraud) and card platform modernization

Why now
Apple Card migration is a high-stakes customer migration.
Buyers
Head of Payments / Treasury Services · CIO Lori Beer · CFO Jeremy Barnum · COO Jennifer Piepszak
Our sponsor
Accenture Payments lead for Financial Services, with the Technology MD for the account
Entry
A 5-week payments platform blueprint: current-state cost and resilience baseline, target architecture, migration waves and a business case the CFO can take to the board.. Existing CAL relationship. Account lead (Jonathan.M.Zandman) brokers the first meeting with the Head of Payments / Treasury Services, and the sponsor brings the point of view.
Proof points
Payments and card platforms case studies
Deal size$10M–$30M
Pursuit cost$185K
Win probability35%
Estimate: Estimate. Pursuit cost is about 37 person-weeks of account, sponsor and SME time at a blended $5,000 per person-week. The entry offer itself is a fixed fee of roughly $220k, or an Accenture investment if the pursuit is contested. The deal range is the 12-24 month follow-on (a multi-wave payments platform migration and modernization program), scaled for an extra-large (G-SIB or global leader) client from a reference range of $10-30M. It is not based on client budget data. Win probability of 35% is a planning assumption for a Mega Diamond.

Outreach sequence

  1. Week 1Benchmark the client's payments growth and platform age against peers and recent platform moves. Map the buying group (Head of Payments / Treasury Services, CIO Lori Beer, CFO Jeremy Barnum) and known Accenture relationships.Account lead (Jonathan.M.Zandman) with an industry SME
  2. Week 2Confirm the sponsor, pick two reference clients, and line up support from payments platform partners already shortlisted by the client.Sponsor
  3. Week 3Reach the Head of Payments / Treasury Services with a one-page note on apple Card program migration (customer, data, servicing and fraud) and card platform modernization, through the account lead.Account lead (Jonathan.M.Zandman)
  4. Week 4-5Executive meetings with the Head of Payments / Treasury Services and CIO Lori Beer: test the hypotheses and offer the entry offer.Sponsor and account lead
  5. Week 6-7Show a reference migration plan and an agentic-commerce or real-time payments demo relevant to the client's franchise.Industry and technical SMEs
  6. Week 8Scope and price the entry offer with the client's working team; agree success measures.Pursuit lead
  7. Week 9-10Proposal review with the economic buyer (CFO Jeremy Barnum) and procurement.Sponsor
  8. Week 11-12Sign the entry offer and mobilize the 5-week team.Delivery lead
  9. Week 17Read out results and propose the follow-on: a multi-wave payments platform migration and modernization program.Sponsor and delivery lead

Timeline

Dec 2026Apr 2027
Prepare and engageFirst executive meeting held with the Head of Payments / Treasury Services
ShapeEntry offer scoped with the client's working team
ProposeEntry offer signed
Deliver entry offerResults read out and follow-on proposal submitted
ExpandFollow-on program signed

Success measures

  • Blueprint signed
  • Migration waves on plan with no client-impacting incidents
  • Payments revenue growth or cost-per-transaction targets met (client's measure)

Risks

  • Platform vendors bundle their own implementation services
  • Card and payments migrations are high-visibility and slow to approve
  • Competition (from the brief): Builds a lot in-house with 60k+ technologists.
3Regulatory data lineage and trade surveillance remediation follow-onsRegulatory & riskIdentified$10M–$35M

The JPMorgan Chase & Co. brief flags this opportunity: Regulatory data lineage and trade surveillance remediation follow-ons. Lead with a fixed-scope 6-week entry offer that proves value quickly, then grow it into a multi-year controls and financial-crime operations program, with managed services for the run state.

From opportunity: Regulatory data lineage and trade surveillance remediation follow-ons

Why now
In 2024 the Fed and OCC fined the bank about $348M for gaps in trade surveillance data, which drove remediation programs in data lineage and control.
Buyers
Chief Compliance Officer · Chief Risk Officer · COO Jennifer Piepszak · CIO Lori Beer
Our sponsor
Accenture Risk and Compliance MD for Financial Services, with the Data & AI lead as co-sponsor
Entry
A 6-week controls and operations diagnostic: baseline alert volumes, backlog and cost per case, then pilot AI-assisted case triage on one queue with model-risk documentation regulators can read.. Existing CAL relationship. Account lead (Jonathan.M.Zandman) brokers the first meeting with the Chief Compliance Officer, and the sponsor brings the point of view.
Proof points
Financial crime, compliance and controls case studies
Deal size$10M–$35M
Pursuit cost$220K
Win probability35%
Estimate: Estimate. Pursuit cost is about 44 person-weeks of account, sponsor and SME time at a blended $5,000 per person-week. The entry offer itself is a fixed fee of roughly $270k, or an Accenture investment if the pursuit is contested. The deal range is the 12-24 month follow-on (a multi-year controls and financial-crime operations program, with managed services for the run state), scaled for an extra-large (G-SIB or global leader) client from a reference range of $10-35M. It is not based on client budget data. Win probability of 35% is a planning assumption for a Mega Diamond.

Outreach sequence

  1. Week 1Summarize the public regulatory findings and peer remediation costs into a one-page risk view. Map the buying group (Chief Compliance Officer, Chief Risk Officer, COO Jennifer Piepszak) and known Accenture relationships.Account lead (Jonathan.M.Zandman) with an industry SME
  2. Week 2Confirm the sponsor, pick two reference clients, and line up support from a financial-crime platform partner such as Quantexa or NICE Actimize.Sponsor
  3. Week 3Reach the Chief Compliance Officer with a one-page note on regulatory data lineage and trade surveillance remediation follow-ons, through the account lead.Account lead (Jonathan.M.Zandman)
  4. Week 4-5Executive meetings with the Chief Compliance Officer and the Chief Risk Officer: test the hypotheses and offer the entry offer.Sponsor and account lead
  5. Week 6-7Demo AI-assisted alert triage and KYC refresh on synthetic data, with the model governance pack.Industry and technical SMEs
  6. Week 8Scope and price the entry offer with the client's working team; agree success measures.Pursuit lead
  7. Week 9-10Proposal review with the economic buyer (COO Jennifer Piepszak) and procurement.Sponsor
  8. Week 11-12Sign the entry offer and mobilize the 6-week team.Delivery lead
  9. Week 18Read out results and propose the follow-on: a multi-year controls and financial-crime operations program, with managed services for the run state.Sponsor and delivery lead

Timeline

Jan 2027May 2027
Prepare and engageFirst executive meeting held with the Chief Compliance Officer
ShapeEntry offer scoped with the client's working team
ProposeEntry offer signed
Deliver entry offerResults read out and follow-on proposal submitted
ExpandFollow-on program signed

Success measures

  • Diagnostic signed
  • Alert backlog and cost per case cut by 30-50% in the pilot queue (target)
  • No adverse regulatory finding on the delivered scope

Risks

  • Regulator-facing work favors incumbent remediation firms and law-firm-led programs
  • Model-risk approval can add months before AI goes live
  • Competition (from the brief): Builds a lot in-house with 60k+ technologists.

01Strategic priorities

  • Jamie Dimon frames tech and AI as core to staying ahead. Management cites hundreds of AI use cases in production and a stated $1.5-2B of annual value from AI.
  • Branch expansion (500+ new branches by 2027) and deposit growth in new US markets, alongside digital engagement in the Chase app.
  • Payments and wholesale franchise growth, including Kinexys (blockchain, formerly Onyx) and treasury services.

02Financial health and spend signals

  • Record profits in 2024 and 2025 (about $57B net income for 2025). NII is normalizing as rates fall, so expense discipline gets more attention.
  • 2026 adjusted expense guidance was about $105B, with tech spend up again from about $18B in 2025. Management says spend is driven by AI, modernization and new products.
  • In October 2026 the CFO said 2026 AI costs were running below earlier estimates (see signals). That points to a push for proof of AI productivity, not just more experiments.

03Leadership changes

  • Dimon succession is the big storyline. Marianne Lake (CCB), Doug Petno and Troy Rohrbaugh (co-CEOs, CIB) and Jennifer Piepszak (COO) are the most cited candidates. Dimon has said he will likely stay CEO for a few more years.
  • Lori Beer is Global CIO. Teresa Heitsenrether leads firmwide data and analytics, including AI. Jeremy Barnum is CFO.

04Regulatory pressure

  • Basel III endgame was re-proposed in a much lighter form in 2025-26, which frees capital. The relief also raises the bar on capital and RWA optimization work.
  • In 2024 the Fed and OCC fined the bank about $348M for gaps in trade surveillance data, which drove remediation programs in data lineage and control.
  • Zelle and authorized-push-payment fraud scrutiny continues at the state level and in litigation, even after the CFPB dropped its federal suit in 2025.

05M&A and restructuring

  • First Republic (acquired in 2023) is fully integrated. In early 2026 JPMorgan agreed to take over the Apple Card program from Goldman Sachs, a large card migration and integration effort.
  • Strategic investments in fintech and infrastructure, for example Thought Machine (core banking tech).

06Tech stack and vendor footprint

  • Multi-cloud (AWS, Microsoft Azure, Google Cloud) alongside large private data centers. Multi-year migration of apps to public and private cloud.
  • In-house LLM Suite gen-AI platform rolled out to about 200k employees. Agentic AI pilots in operations, coding assistants for 60k+ developers.
  • Kinexys blockchain (JPMD deposit token on Base), Athena risk/pricing platform, and partnerships with Snowflake, Databricks and others for its data platform.

07Competitor engagements

  • Builds a lot in-house with 60k+ technologists. External SIs and offshore providers (Infosys, TCS, Cognizant, Capgemini) appear in vendor ecosystems. McKinsey and BCG are seen on strategy work. No large public case study by a named consultancy was confirmed.

08Risk disclosures

  • 10-K risk factors stress cyber (the bank is a top target), third-party and cloud concentration, AI model risk, and operational resilience.
  • Climate, geopolitical exposure, and the commercial real estate cycle.

Workforce

318,000 employees (2025), +17% since 2021; revenue per employee about $572K (+28%). Growingunverified

Job cuts

  • Aug 21, 2026 · WARN notice · 63 roles. Further New Jersey WARN filing. (Jersey City, NJ)layoffhedge.com
  • Feb 2026 · WARN notice · 121 roles. New Jersey WARN notices for a business review. (Jersey City, NJ)layoffhedge.com

Captive centers

  • JPMorgan Chase Services India (Mumbai, Bengaluru, Hyderabad, India), about 55,000 staff, growing. A 2M sq ft Powai, Mumbai campus due in 2029 would be Asia's largest GCC; AI and ML headcount is rising.business-standard.com

Compare across accounts on the workforce page.

Earnings call themes

  • Q3 2026 Capital & buybacksRates & NIIAI & automationCredit qualityCyber & resilienceOrganic growth
    Prefers organic investment to buybacks, with about $30B excess capital. Tightening some lending standards. Limits on outside AI agents; gen-AI gains still hard to see in results. 2027 expense around $114B.
    finance.yahoo.com
  • Q1 2026 Rates & NIICapital & buybacksOrganic growthAI & automationunverified
  • Q4 2025 Efficiency & costAI & automationCapital & buybacksRates & NII
    2026 expense guide about $105B, tech spend up again.
    unverified

Regulatory actions

  • Mar 2024 · Fine Federal Reserve and OCC · $348M · closed. Gaps in trade surveillance data feeding remediation in data lineage and controls.unverified

Recent public signals

Sourcing. Bullets without a source link or a ✓ mark come from model knowledge (public information up to mid-2026) and have not been verified. Check them against the latest filings before using them with a client. Recent public signals were found by web search; most were judged from the headline and source, not a full read.