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TOGETHER WITH PLAID
And their expectations for what financial products should do have never been higher. The State of Intelligent Finance, Plaid's latest report in partnership with the Harris Poll, covers where consumers are most ready to let AI take action, what builds trust and what breaks it, and how teams can turn rising expectations into a competitive advantage.
Latest in AI
Banco Santander has announced plans to cut costs by more than 500 million euros (£433 million) by accelerating AI deployment across its global operations, including Santander UK. The Spanish banking giant is targeting over one billion euros in combined revenue gains and cost savings from AI between 2026 and 2028, with over half expected to come from cost reduction through automation, productivity gains, and process simplification.
The bank expects to deliver more than 200 million euros (£173.4 million) in "business value" from AI by the end of 2026 alone, building on the 35 million euros (£30.3 million) already achieved in Q1 2026.
Santander is rolling out AI access to all 185,000 staff worldwide, including around 15,000 in the UK, though the group has not disclosed job impact numbers or announced workforce reductions linked to the AI rollout.
In the UK specifically, Santander is deploying AI in voice channels for card-related queries, targeting 240,000 calls (40% of annual volume) to be resolved through self-service, which would save customers 26,000 hours and free up 45,000 hours for service teams.
This positions Santander among the first major banks to quantify AI's financial impact at scale, following Lloyds Banking Group's earlier disclosure of a £50 million profit boost from AI in 2025. For enterprise leaders, Santander's disclosure provides a concrete benchmark for AI ROI in large-scale operations. The announcement also signals that cost reduction through automation remains the primary AI value driver in financial services, even as banks emphasize growth opportunities.
THE BUSINESS BRIEFING: SALES (powered by Upscaile)
ABC Packaging (mid-market flexible packaging manufacturer) was bleeding sales hours on low-quality calls. Reps fielded tire-kickers, answered basic questions, and chased cold leads while high-value prospects sat in queue. The team tried outsourced live answering services, but agents went off-script and killed opportunities.
Tool used: SalesAi — AI voice agent that screens inbound calls, re-engages dormant leads, and live-transfers qualified prospects to reps.
Result: Sales reps now take only pre-screened, high-intent calls. 5% of engaged leads transfer directly to sales within 60 days. Hours previously spent on unqualified inquiries redirected to closing revenue.
The lesson: AI call screening works when it handles first contact across all lead sources — web forms, inbound calls, and old pipeline. ABC Packaging deployed one consistent voice for every touchpoint instead of patching gaps with humans.
Steal this: Audit where your reps waste time on low-value calls this week. Map every inbound channel (web forms, phone, old leads) and flag which ones eat selling hours without converting. Route those to AI screening first.
TOGETHER WITH INCOGNI
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THE POLICY CORNER
Kenya publishes AI Bill requiring risk assessments and human oversight for high-risk systems
Kenya's Artificial Intelligence Bill, 2026, establishes an independent AI Commissioner and introduces mandatory compliance obligations for businesses deploying high-risk AI in healthcare, finance, employment, education and public administration. Providers must conduct pre-deployment risk assessments, implement human oversight, maintain five years of documentation, and submit annual compliance reports. The bill applies to any entity operating high-risk AI systems in Kenya, regardless of company headquarters.
Deadline: Not yet enacted. Publication signals parliamentary review is underway.
Your move: If you deploy AI for hiring, credit decisions, or customer-facing automation, look over operations with legal and compliance teams. Track publication of secondary regulations defining high-risk categories and assessment requirements.
AI News
💸 Enterprise AI spending rises while ROI timelines extend: 76% of leading organizations plan to increase AI budgets in 2026, but only 27% now expect returns within six months as firms reset expectations from quick wins to multi-year transformation. FULL STORY
🔐 Microsoft patches critical Copilot SearchLeak flaw: CVE-2026-42824 allowed attackers to extract 2FA codes, confidential emails, and SharePoint files through crafted URLs that bypassed DLP policies. FULL STORY
🤖 Nvidia doubles down on OpenClaw with full-time contributors: "An agent is an LLM and a harness," says Nvidia's Director of Developer Technologies, as the chipmaker assigns dedicated developers to the controversial 800k-line agent framework while building enterprise blueprints for Hermes and NemoClaw. FULL STORY
🛡️ 7,000 Langflow servers under active attack: Security researchers identify critical vulnerabilities in Langflow, LangGraph, and LangChain deployments exposing enterprise AI workflows to exploitation. FULL STORY
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The Money: Sovereign AI becomes a strategic asset class
Governments are now focused on building models buying models. Two major rounds this week totaled $560M for platforms letting nations control AI under their own authority, not foreign providers. As geopolitical tensions reshape tech infrastructure, sovereign AI is emerging as critical national capability.
Deals to know:
Dream (Growth, $260M at $3B valuation) -- Sovereign AI and cyber defense platforms for governments. Secured $300M in contracts since late 2024. Investors: Bicycle Capital, Group 11, Antler, Bain Capital Ventures
General Intuition (Series A, $300M at $2B valuation) -- Spatial AI agent training using 2B annual video clips for world modeling. Scaling compute ahead of late summer launch. Investors: Jeff Bezos, Eric Schmidt, Khosla Ventures, General Catalyst
Signal: Capital flowing to infrastructure nations can own, not rent. Expect sovereign AI buildouts to accelerate as governments treat foundational models like critical defense systems.
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