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Bank of America Corporation

About $4B a year on new tech initiatives; Erica and a "build once" AI platform

BACBanks/Diversified Banks(40101010)HQ Charlotte, NCResearched Oct 25, 2026Unverified
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Second-largest US bank (about $3.3T assets), with Consumer Banking, Global Wealth & Investment Management (Merrill, Private Bank), Global Banking and Global Markets. It is known for steady "responsible growth", operational excellence, and the most widely used bank virtual assistant (Erica).

Talking points

  • "Build once, reuse everywhere" fits a platform approach. Position agentic AI that plugs into their existing shared AI services rather than one-off pilots.
  • The AML consent order calls for sustainable automation of financial-crime operations, not just a remediation sprint.
  • Positive operating leverage with flat headcount is the CFO's story. Tie proposals to measurable cost per transaction.

Likely opportunities

  • Financial-crime and KYC transformation (AML consent order).
  • Agentic AI in operations and contact centers, building on Erica and CashPro.
  • Wealth (Merrill) advisor productivity and platform modernization.

Outreach plans

2 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.

1Financial-crime and KYC transformation (AML consent order)Regulatory & riskIdentified$10M–$35M

The Bank of America brief flags this opportunity: Financial-crime and KYC transformation (AML consent order). 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: Financial-crime and KYC transformation (AML consent order)

Why now
The AML consent order calls for sustainable automation of financial-crime operations, not just a remediation sprint.
Buyers
Chief Compliance Officer · Chief Risk Officer · COO · CIO
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 (David.L.Schumacher) 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$170K
Win probability30%
Estimate: Estimate. Pursuit cost is about 34 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 30% is a planning assumption for a Platinum.

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) and known Accenture relationships.Account lead (David.L.Schumacher) 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 financial-crime and KYC transformation (AML consent order), through the account lead.Account lead (David.L.Schumacher)
  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) 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

Nov 2026Mar 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): Heavy in-house delivery.
2Agentic AI in operations and contact centersAI & agentsIdentified$8M–$25M

The Bank of America brief flags this opportunity: Agentic AI in operations and contact centers, building on Erica and CashPro. 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 in operations and contact centers, building on Erica and CashPro

Why now
Large private cloud plus selective public cloud.
Buyers
COO · Chief AI / Data Officer · CIO · CFO Alastair Borthwick
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 (David.L.Schumacher) brokers the first meeting with the COO, and the sponsor brings the point of view.
Proof points
Agentic AI operations case studies
Deal size$8M–$25M
Pursuit cost$145K
Win probability30%
Estimate: Estimate. Pursuit cost is about 29 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 30% is a planning assumption for a Platinum.

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, Chief AI / Data Officer, CIO) and known Accenture relationships.Account lead (David.L.Schumacher) 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 the COO with a one-page note on agentic AI in operations and contact centers, building on Erica and CashPro, through the account lead.Account lead (David.L.Schumacher)
  4. Week 4-5Executive meetings with the COO 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 Alastair Borthwick) 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

Dec 2026Apr 2027
Prepare and engageFirst executive meeting held with the COO
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): Heavy in-house delivery.

01Strategic priorities

  • Brian Moynihan's "responsible growth" with digital at the core. Erica has handled billions of interactions, and the bank runs an enterprise "build once" AI approach that reuses common AI services across businesses.
  • Organic growth in deposits, wealth (Merrill) and middle-market banking. Branch expansion into new US markets.
  • Operating leverage. Management targets positive operating leverage, with flat headcount and tech replacing manual work.

02Financial health and spend signals

  • Total tech budget of about $13B, with about $4B a year for new initiatives (cited in 2025-26). AI and gen-AI spend is growing inside that envelope.
  • NII recovered in 2025-26 as low-yield securities rolled off. The efficiency ratio is in the low 60s and management wants it lower.

03Leadership changes

  • In 2025 Dean Athanasia and Jim DeMare were named co-presidents, which signals succession planning around Moynihan. Alastair Borthwick is CFO. Aditya Bhasin is CTO and CIO.

04Regulatory pressure

  • A 2024 OCC consent order on BSA/AML compliance gaps is driving AML and KYC remediation.
  • Lighter Basel III endgame and G-SIB surcharge recalibration in 2025-26 frees capital for buybacks and lending.

05M&A and restructuring

  • No major acquisitions. The bank grows organically and avoids large M&A.

06Tech stack and vendor footprint

  • Large private cloud plus selective public cloud. Big in-house engineering (about 7k patents). Erica, CashPro (treasury) and Merrill digital platforms.
  • Gen-AI rollout to employees (Erica for Employees, coding assistants). Partnerships with Microsoft and other AI vendors.

07Competitor engagements

  • Heavy in-house delivery. The large Indian IT providers (Infosys, TCS, HCL) and Big Four firms show up on AML and regulatory programs. No headline consultancy case study was confirmed.

08Risk disclosures

  • 10-K stresses cyber, operational resilience, third-party risk, interest-rate sensitivity (the HTM securities book) and conduct risk.

Workforce

212,000 employees (2025), +2% since 2021; revenue per employee about $509K (+19%). Efficiency gainsunverified

Job cuts

  • Oct 14, 2026 · Reported · 3,500 roles. Headcount down about 3,500 year on year while client-facing teams grew; management credits AI and process automation and plans continued headcount discipline into 2027. (back office)gloom.sh

Compare across accounts on the workforce page.

Earnings call themes

  • Q3 2026 Rates & NIICredit qualityRegulatory & remediationHeadcount disciplineAI & automationEfficiency & cost
    $1.2B settlement charge; headcount down about 3,500; about 130 AI projects, AI benefits rising to about $700M next year.
    gloom.sh
  • Q1 2026 Rates & NIIOrganic growthEfficiency & costunverified
  • Q4 2025 Rates & NIIEfficiency & costCapital & buybacksunverified

Regulatory actions

  • Oct 14, 2026 · Settlement Not named in the call summary · $1.2B · open. A $1.2B non-deductible settlement charge in Q3 2026; about 1,000 consultants support remediation.gloom.sh
  • Dec 2024 · Consent order OCC · open. Cease-and-desist order on BSA/AML and sanctions compliance, with no penalty.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.