AI automation for financial services.
AI automation built for banks, lenders, wealth managers, and fintechs. Aligned to SOX, PCI-DSS, GLBA, and AML/KYC.
AI takes over the repeatable work in financial services: KYC verification, AML alert triage, fraud detection, reconciliation, and month-end close. A corporate KYC review takes months and costs thousands, and only .5% of the SARs US banks filed in 2023 were involved in FBI investigations, yet every alert is worked by hand. Every deployment is built to SOX, PCI-DSS, and GLBA in the US and FINTRAC, OSFI, and PIPEDA in Canada, with encryption, role-based access, and a full audit trail. Calgary-based, live in 2 to 6 weeks, one workflow first.
Updated September 2026
Handled end to end by professionals.
Chad, Jesse, and Camilly lead the team that builds, ships, and maintains your automations.
Sources: MarketsandMarkets, AI in Finance Market Report 2024-2030 (Report Code TC 9214); Bank Policy Institute, Currency Transaction Reports vs. Suspicious Activity Reports
In short: The Automators builds AI automation for banks, credit unions, lenders, wealth and asset managers, and fintechs: KYC onboarding, AML alert triage, fraud detection, reconciliation, month-end close, and client servicing. Every build is aligned to SOX, PCI-DSS, and GLBA in the US and FINTRAC (PCMLTFA), OSFI, and PIPEDA in Canada, with Canadian data residency available, encryption, role-based access, segregation of duties, and complete audit logging. Most first projects ship in 2 to 6 weeks, one workflow first. A person reviews every model output before any filing, credit decision, or money movement.
- GenCon
- TC Energy
- Techmation
- mCloud Technologies
- Autopro Automation
- Webvelopment
- Colony Construction
- Ace Track Golf
- Scotellas Ventures
- Independent Environmental Monitoring Agency
- EShine Cleaning
- NEWHAUS
- RELVO
- 403Tech
- bobbie
- Sold by Silvana
- Busy Beaver Construction
- GTS Real Estate
- Stellar WD
- Glacier Peak Mechanical
- J Swart Behavior
- FirstLook
- Little Big Recycling
- Pioneer Disposal
- Clean It All
- FirstListen
- Pillar 9
Why financial services is automating now
Financial services is one of the most control-heavy, paperwork-intensive industries in the economy, and the overhead is measurable. US community bankers told the Conference of State Bank Supervisors' 2025 Annual Survey that money laundering rules alone account for 25% of their total compliance expenses, second only to safety and soundness standards. (Conference of State Bank Supervisors, 2025 Annual Survey of Community Banks (release on CommunityBanking.org)) The sector is already moving: 40.4% of Canadian finance and insurance businesses used AI to produce goods or deliver services in the year to mid-2026, among the fastest adoption rates in the country. (Statistics Canada, Analysis on artificial intelligence use by businesses in Canada, second quarter of 2026)
The market for AI to reduce this load is scaling fast. MarketsandMarkets valued the AI in Finance market at USD 38.36 billion in 2024 and projects USD 190.33 billion by 2030 at a 30.6 percent compound annual growth rate, with compliance automation platforms cited as the fastest-growing segment. (MarketsandMarkets, AI in Finance Market Report 2024-2030 (Report Code TC 9214))
The burden concentrates in onboarding. A single corporate KYC review costs a bank thousands of dollars and takes months end to end, with staff collecting documents, rekeying data across systems, and screening names against sanctions and PEP lists by hand. Slow onboarding loses business: a growing share of banks report losing clients to inefficient onboarding and KYC every year.
Monitoring is the other sink. The Bank Policy Institute found that only .5% of the 4.6 million suspicious activity reports US banks filed in 2023 were involved in FBI investigations, yet an analyst worked every alert behind those filings, and most of that time went to alarms never linked to a crime. (Bank Policy Institute, Currency Transaction Reports vs. Suspicious Activity Reports) The regulator is watching the output: FINTRAC issued 23 notices of violation in 2024-25, the most in its history, totalling more than $25 million in penalties. (FINTRAC, news release: FINTRAC publishes its 2024-25 Annual Report, Safe Canadians, Secure Economy)
The stakes on the other side are just as large. Illicit funds move through the global financial system on an enormous scale, and fraud scams and bank-fraud schemes make up a large share of it. Consumer losses keep climbing: the Federal Trade Commission reports Americans lost about $16 billion to fraud in 2025, the highest on record and roughly 25 percent more than in 2024. (Federal Trade Commission, press release: FTC Data Show People Reported Losing $3.5 Billion to Imposter Scams in 2025)
Regulators are not lenient. Global bank fines for financial-crime, consumer-protection, and operating breaches run into the billions of dollars every year, and AML and transaction-monitoring failures account for most of it. This is the work AI is good at: KYC agents collect and verify documents and screen against sanctions and PEP lists, AML agents enrich and triage alerts so analysts see the risky ones first, fraud models score transactions in real time, and reconciliation agents match transactions across ledgers so month-end close does not consume weeks of cumulative manual hours.
Compliance is the gate, and it is non-negotiable. In the US that means SOX for financial-reporting controls, PCI-DSS wherever cardholder data is handled, GLBA for the privacy and safeguarding of customer financial information, and the BSA/AML regime with a documented Customer Identification Program, all under SEC and FINRA oversight for regulated firms. In Canada it means FINTRAC and the PCMLTFA for reporting entities, OSFI for federally regulated institutions, and PIPEDA for personal information, with Canadian data residency where required.
We design for both regimes from day one. We are a Calgary-based agency serving firms across Canada and the US. We start with one high-leverage workflow, prove the ROI in weeks, keep a human in the loop on anything that touches a filing, a credit decision, or money movement, and scale only what works.
What we automate for financial services firms.
The functions where financial services teams spend the most hours on repeatable work, each mapped to the automation we deploy and the outcome it drives.
A single corporate KYC review costs a bank thousands of dollars and takes months, with staff collecting documents, rekeying data across systems, and screening names against sanctions and PEP lists by hand, and slow onboarding costs banks clients every year.
A KYC agent collects and verifies identity documents, extracts and structures the data, screens against sanctions, PEP, and adverse-media lists, flags mismatches for review, and assembles a complete onboarding file with the supporting evidence attached.
Faster onboarding and a clean, screened client file is the typical benchmark KYC automation targets against a months-long, thousands-of-dollars-per-review baseline.Only .5% of the SARs US banks filed in 2023 were involved in FBI investigations, yet every alert behind them must be worked, and compliance teams spend most of their alert-handling time clearing alarms that are not linked to any crime.
An AML agent enriches each alert with customer, transaction, and network context, scores and ranks it by genuine risk, auto-documents and dispositions clear false positives per policy, and routes the risky minority to an analyst with the evidence already assembled.
More analyst time on genuinely risky alerts and less on noise is the benchmark alert-triage automation targets against a baseline where the vast majority of alerts are noise, with a human deciding every escalation and SAR.Americans reported losing about $16 billion to fraud in 2025, the highest on record, and rules-only detection either misses novel patterns or floods teams with false declines, while disputes and chargebacks pile up in manual queues.
A fraud agent scores transactions in real time against behavioral and network signals, holds or steps up only the suspicious ones, drafts dispute and chargeback documentation, and hands genuine cases to an investigator with the full transaction trail.
Sharper real-time detection with fewer false declines and faster dispute handling is the typical benchmark this automation is built to deliver, with final action reserved for a person.Reconciliation is consistently the most time-consuming close task, taking finance teams dozens of hours a month across several disconnected systems, and unmatched items surface late as restatement and audit risk.
A reconciliation agent ingests statements and ledgers, matches transactions across accounts and systems, categorizes and routes the exceptions, and drafts the adjusting entries for a controller to review and post, all against defined rules.
Fewer unmatched items and hours returned to the finance team is the benchmark reconciliation automation targets against a monthly manual load measured in dozens of hours.Many finance teams take more than a week to close the books, and a traditional close can consume weeks of cumulative manual hours across the team, gated by cross-team dependencies and spreadsheet-driven steps.
A close agent orchestrates the checklist, pulls and reconciles source data, drafts accruals and journal entries for review, chases outstanding items, and assembles the close package and variance commentary with a full control trail for SOX evidence.
A shorter, more predictable close with audit evidence captured as it runs is the typical benchmark close automation targets against a close that otherwise consumes weeks of cumulative manual hours, with entries reviewed and posted by a person.Banks, lenders, and wealth firms lose after-hours inquiries, statement and balance requests, document collection, and status updates to voicemail and manual outreach, which hurts client experience and clogs relationship-manager time.
A client-servicing agent answers routine account, statement, and product questions 24/7, collects and chases outstanding documents, sends status and renewal updates, and hands complex advice, complaints, or account changes to a licensed person, all logged for the record.
Around-the-clock coverage of routine requests and consistent document and status follow-up is the typical benchmark this automation is built to deliver, with advice and account actions kept with your staff.Most financial services teams start with one high-leverage automation, prove the ROI in weeks, then scale from there.
Book free consultationWhere automation leverage runs deepest.
Ranked by the breadth of automation opportunity we see across each area's core workflows: the wider the bar, the more of that work our deployments can take over today.
Automation patterns in financial services.
Illustrative examples of the automations we build for financial services firms. See our published case studies for real client work.
| Segment | Engagement | Outcomes & impact |
|---|---|---|
| CASE 01Regional bank | KYC onboarding automation for a regional bankRegional and commercial banks carry a heavy onboarding load, with a single corporate KYC review costing thousands of dollars and taking months, and slow onboarding costs banks clients every year. An AI onboarding agent collects and verifies identity documents, screens each entity against sanctions, PEP, and adverse-media lists, flags mismatches for a compliance officer, and assembles a complete, evidenced onboarding file for sign-off. | VERIFIEDIdentity documents collected, verified, and structured without manual rekeying. SCREENEDSanctions, PEP, and adverse-media screening run on every entity with hits flagged for review. FILE BUILTA complete, evidenced onboarding file assembled for the compliance officer to sign off. AUDIT-READYBuilt to BSA/AML and GLBA, with a full audit trail across the onboarding path. |
| CASE 02Credit union | AML alert triage for a credit union compliance teamWith the vast majority of AML transaction-monitoring alerts turning out to be false positives, a credit union compliance team spent most of its time clearing alarms that were not linked to any crime. An AI alert-triage agent enriches each alert with customer, transaction, and network context, scores and ranks it by genuine risk, auto-documents and dispositions the clear false positives per policy, and routes the risky minority to an analyst with the evidence already assembled. Every SAR decision stays with a person. | ENRICHEDEach alert enriched with customer, transaction, and network context up front. RANKEDAlerts scored by genuine risk against a baseline where most alerts are noise. AUTO-CLEAREDClear false positives auto-documented and dispositioned per written policy. HUMAN SARRisky alerts and every SAR decision escalated to a human with evidence attached. |
| CASE 03Wealth & asset manager | Reconciliation and close automation for a wealth managerReconciliation is the most time-consuming close task, running dozens of hours a month across several systems, and many finance teams take more than a week to close. An AI reconciliation and close agent ingests statements and ledgers, matches transactions across accounts, routes exceptions, drafts the adjusting and journal entries, and assembles the close package with SOX control evidence, leaving a controller to review and post. | MATCHEDTransactions matched across custodial, bank, and ledger systems automatically. EXCEPTIONS ROUTEDUnmatched items categorized and routed instead of chased across spreadsheets. ENTRIES DRAFTEDAdjusting and journal entries drafted for controller review before posting. SOX EVIDENCEClose package and control evidence assembled as the process runs. |
| CASE 04Fintech / digital lender | Fraud detection and client servicing for a digital lenderA digital lender fielded high transaction volume and after-hours inquiries that rules-only detection and manual queues could not keep up with, against a backdrop where Americans reported losing about $16 billion to fraud in 2025, the highest on record. An AI fraud agent scores transactions in real time, steps up only the suspicious ones, and drafts dispute documentation, while a client-servicing agent handles routine account and status questions 24/7 and hands genuine issues and credit decisions to licensed staff. | REAL-TIMETransactions scored in real time with only suspicious ones held or stepped up. DISPUTES DRAFTEDDispute and chargeback documentation drafted for an investigator to review. 24/7Routine account, balance, and status questions handled around the clock. HUMAN DECIDESCredit decisions and account changes routed to licensed staff, PCI-DSS aligned. |
Financial Services runs on throughput.
Where the numbers come from.
Every statistic cited on this page links to the document it came from. Figures are re-verified against these sources before each release.
- 01
- 02
- 03
- 04
- 05
- 06
Compliance & regulators in financial services.
The regulatory framework every financial services deployment meets by default.
For US firms, financial-reporting workflows are built to preserve SOX internal controls: segregation of duties, maker-checker approval, and control evidence captured on every automated action. Customer financial information is handled under the GLBA Safeguards Rule with encryption and least-privilege access, and anywhere cardholder data is involved we build to PCI-DSS. Regulated broker-dealers and advisers also operate under SEC and FINRA rules. Note these are frameworks we design and operate to, not certifications we hold, so we rely on documented controls and, where applicable, your auditors and QSA.
AML and onboarding automation is built around the BSA/AML regime in the US, including a documented Customer Identification Program, sanctions and PEP screening, and human-decided SAR filing. In Canada, deployments are built for FINTRAC and the PCMLTFA obligations that apply to reporting entities, including suspicious-transaction and large-cash-transaction reporting timelines, with OSFI-aligned AML governance for federally regulated institutions. Automation prepares and documents; a qualified person always makes the reporting and escalation decision.
Personal and financial data is encrypted in transit and at rest, access is role-based and least-privilege, and every automated action is written to an immutable audit trail so you can answer who did what, when, and on which record. For Canadian clients we build to PIPEDA with Canadian data residency available where required, and we never train external models on your customer or transaction data. Anything touching a filing, a credit decision, or money movement keeps a human in the loop by design.
Which services fit financial services firms?
KYC and onboarding documents, loan and account applications, sanctions and PEP screening packets, and AML and dispute case files extracted, verified, structured, and routed with a full audit trail for review before any decision.
Learn more →Transaction reconciliation across ledgers and systems, month-end and financial close orchestration, accrual and journal-entry drafting, and variance commentary, with SOX control evidence captured as the process runs and entries posted by a controller.
Learn more →Orchestration across your core banking, CRM, AML/KYC, and reconciliation systems, so onboarding, alert triage, and close move automatically with segregation of duties and human approval built in, instead of waiting in a queue.
Learn more →Resources for financial services firms.
Technologies we work with.
We integrate with the platforms your team is on today. No rip-and-replace.
n8n
Make
Zapier
OpenAI
Anthropic
Supabase
Salesforce
HubSpot
Twilio
Microsoft 365
Google Workspaceand many more…
Financial Services AI, answered.
Is AI automation compliant with financial-services regulations?
What financial-services workflows can be automated?
How much does financial-services AI automation cost?
Will it integrate with our core banking and compliance systems?
How do you handle false positives in AML and fraud without missing real risk?
How fast can we go live?
Is our customer and transaction data safe?
Why work with a Calgary-based agency for financial-services automation?
Related industries we serve.
Tell us what's slowing you down.
We'll tell you what's automatable.
Free 30-minute consultation. We'll scope the highest-ROI automation in your financial services operation and tell you straight whether AI is the right answer.
- No commitment required
- Reply within 24 hours
- Serving Canada, the U.S. & Worldwide