Why exception handling is the real bottleneck in KYC and AML
A KYC case can clear sanctions screening in minutes, then wait days over one name mismatch. Onboarding speeds up when teams fix exception handling, where handoffs and…
Fewer slides. More doing.
AI in production, not in pilots.
Electric Mind is a team of forward-deployed engineers. We work inside your systems, alongside your people, to take AI from strategy to software that runs, with the discipline of a firm that has shipped enterprise software since 1990.
- Since 1990Building enterprise software, first as Intelliware
- Engineers firstThe people who design the work also build and run it
- Toronto and New YorkOffices in both, with clients across North America
- C$100 millionInvested by Motive Partners in 2025
What we do
Five ways we get AI working.
Each one stands on its own. Most clients start with the problem that’s costing them most, then add the others as the work grows.
- 01AI Workforce EnablementTraining that changes how work gets planned, built and reviewed, from executives to the people who’ll train everyone else.
- 02AI-Accelerated Solution DeliverySenior engineers who modernize platforms inside your environment, with AI across the whole delivery lifecycle and humans approving every step.
- 03Governed Agentic OperationsAI agents in production across the middle and back office: deterministic where they must be, auditable everywhere.
- 04AI-Ready DataWe organize your data, connect it and give your AI the context to use it, with governance built in from the start.
- 05AI-Augmented CybersecurityAttackers move at AI speed. We find your exposure first, fix what matters and secure the AI you’re deploying.
Our work
Results we can point to.
From a payments platform taken to market with a start-up to an AI roadmap a bank is now executing.
Bringing a bank-to-bank payment platform to market with Clik2pay
Clik2pay set out to let people pay bills straight from their bank accounts, in a crowded market where security decides who wins. We built and launched the platform with them, then helped them build the team that runs it today.
Launched then handed to Clik2pay’s own product team
Read the case study
Finding where AI agents pay off in day-to-day banking
A North American bank wanted to use AI agents to take friction out of its day-to-day banking operations. In 12 weeks we assessed its processes with 16 teams, proved the strongest ideas with working prototypes and built the roadmap the bank is now executing.
$10–15M a year in identified, not yet realized, savings
Read the case study
Refreshing the data strategy and architecture of a top-20 US regional bank
A regional bank with an established data platform asked us to refresh its data strategy for analytics and AI. We benchmarked its maturity against peers and designed the target architecture and operating model the bank adopted as its data roadmap.
2.3 to 3.3 data maturity uplift over two years, on a peer-benchmarked model
Read the case studyHow we work
Forward-deployed means we stay in the room, from workshop to production.
The people who design your solution are the same people who build and deploy it, so every recommendation is something we know can be built, governed and run.
- Find the work worth automatingWorkshops and process mining map your workflows, data and current performance, then rank each opportunity by value, risk and effort.
- Prove it on your systemsWorking proofs of concept against real data and real systems, so the business case is tested before it’s funded.
- Build it with your teamOur engineers co-team with yours to build, integrate and govern, with human review at every stage.
- Leave you running itPlaybooks, patterns and trained people stay behind, so the next project starts from what this one learned.
Industries
Built for regulated, high-stakes industries.
Most of our work is in financial services. We also build for transportation, health care, start-ups, and sports and entertainment.
Financial Services
Banking, capital markets, private markets and fintech
Read more
Transportation
Fleet, passenger, freight and transit
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Health Care
Providers, payers, pharma and medtech
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Start-ups
Product engineering from first build to scale
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Sports & Entertainment
Teams, leagues, media, venues and gaming
Read moreWhat clients say
In their words.
When our organization needed to bring a proven digital banking platform into a new market, the timeline was fixed and the stakes were high. Electric Mind led the architecture and feasibility work, coordinated teams across two countries, and managed the launch through two command centres in parallel.
Migrating millions of customer accounts onto a new platform meant our teams had to get architecture, data conversion and readiness right the first time. Electric Mind led the design and delivery of the core systems involved and managed the conversion effort from planning through go-live.
Replacing a discontinued core payments framework, while keeping transaction volumes flowing for millions of customers, required careful sequencing and deep technical expertise. Electric Mind designed and built a modernized, API-driven platform and coordinated the effort across multiple delivery teams.
Our mind
Notes from the work.
What we’re learning about getting AI into production, keeping it governed and proving it pays.
The credibility gap between AI ambition and production reality
Most wealth firms can stage a strong AI demo, but fewer can run it inside advisor tools with approved data, logged outputs, and answers for compliance. Clients notice…
Leading with code instead of slides to prove AI value
Working code proves AI value faster than strategy slides. A prototype built with real data, users, and controls exposes value, data fit, and governance issues in days…
Podcast
Electric Mindset
Real conversations about AI work in the enterprise, with the leaders building AI-ready organizations and what it takes to get there.
Wealth Management’s AI Credibility Gap
Kapin Vora on the gap between AI promises and AI running in production in wealth management, and where firms should start.
Show notes
Next step
Tell us what you need to get into production.
Someone senior reads every message and replies to set up a short call.