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AMROAR Technologies

AI Agents for Financial Services Businesses | Amroar Technologies
AI Implementation Services/Financial Services
FINANCIAL SERVICES — AI AGENTS & IMPLEMENTATIONS

We Build AI Agents & Automations
for Financial Services Businesses.

Advisors spending Tuesday mornings writing reports that AI should have written overnight. JPMorgan is building six distinct agent programmes simultaneously. Goldman and Citi deployed Devin across 12,000 engineers. The question isn't whether AI works in financial services — it's which builds matter for your firm.

See agents & implementations ↓
6Agents in production at major firms
11Implementations mapped
from $997Starting price
0Failed builds
WHAT MAJOR FINANCIAL INSTITUTIONS ARE BUILDING RIGHT NOW

AI Agents Financial Services Firms Are Deploying in 2026

JPMorgan is building six distinct agent engineering functions in parallel. Goldman Sachs and Citi deployed Devin across 12,000 engineers. Per Accenture, 76% of banks plan to grow tech headcount specifically because of agents. Every one of these can be built for your firm.

KYC / AML & Financial-Crime Agent

Performs entity resolution across multiple data sources, runs sanctions screening against OFAC and international watchlists, conducts adverse-media searches, assesses risk scores against your firm's risk appetite, and drafts Suspicious Activity Reports for compliance officer review. Every routine step automated. Compliance team handles the judgment calls.

Other companies building this The most-procured agent category across Tier-1 banks. Bank of America, Wells Fargo, and Capital One all have programmes in production. Accenture identifies this as the fastest-scaling compliance AI category in 2026.
PricingCustom
Private-Bank / Wealth-Advisor Copilot

Summarises client portfolios, pulls relevant market context, drafts the meeting agenda and talking points, writes follow-up notes and action items, and prepares personalised client communications — all before the advisor sits down. The advisor's time goes to the relationship, not the preparation for the relationship.

Other companies building this JPMorgan's "Ask David" agent is live with wealth advisors today. Every major private bank is racing to match it. UBS and Morgan Stanley have parallel programmes in advanced deployment.
PricingCustom
Loan-Origination Agent

Collects and validates application documents, verifies income and identity, runs fraud checks, assesses against lending criteria, and routes to the appropriate underwriting path — without a processor manually handling each step. Turnaround times drop from weeks to days. Processor capacity scales without headcount.

Other companies building this JPMorgan building this inside Home Loan Originations on AWS. Rocket Mortgage and loanDepot are on the same path. The most ROI-measurable build in retail lending.
PricingCustom
Research & Modelling Agent

Pulls earnings filings, builds financial models, runs valuations, synthesises sector context, and drafts investment committee memos and client-facing research notes. The analyst reviews and adds judgment — they don't build the model from scratch or write the boilerplate sections that consume half their day.

Other companies building this Goldman Sachs and Morgan Stanley rolling this out to research and IBD teams. Bloomberg has launched an agent layer directly into the Terminal for institutional users.
PricingCustom
Fraud-Investigations Agent

Reviews flagged transactions, builds the case file from linked accounts and transaction history, identifies patterns, cross-references against known fraud typologies, and drafts the disposition report for investigator sign-off. Investigation throughput scales without investigator headcount scaling with it.

Other companies building this The #1 agent use case cited in Evident Insights' 2026 banking AI talent report. Mastercard, Visa, and every major card network have this in active production or advanced development.
PricingCustom
Risk-Technology & Model-Monitoring Agent

Watches model performance metrics and drift indicators in real time, flags breaches against risk appetite thresholds, generates the model risk memo, and escalates to the model risk team with supporting analysis. The team responds to flagged issues rather than monitoring dashboards all day waiting for something to happen.

Other companies building this JPMorgan's Risk Technology group is building this today. Citi has a parallel programme. Every firm with a large model inventory is procuring this in 2026.
PricingCustom

Implementations & Automations

Structured builds with defined scope, timeline, and starting price. These run alongside agent deployments or ahead of them.

Category 01

Client Management & Onboarding

The CRM and client intelligence layer — pipeline, onboarding, review processes, and the meeting prep that currently eats advisor time.

Financial Services CRM — Full Implementation

Client relationships spread across individual spreadsheets and email. No firm-wide visibility on AUM, review dates, or relationship health. Pipeline is whoever can remember it.

What changes

Full client and pipeline visibility across every advisor. Review dates and AUM tracked centrally. Nothing falls through the gap again.

Starting at$2,997
Automated Client Review & Rebalancing Alert System

Annual reviews missed because nobody is tracking which clients are due. Rebalancing opportunities spotted too late or not at all.

What changes

Every review date tracked and flagged automatically. Rebalancing triggers fire when portfolios drift outside tolerance. Advisors engage proactively instead of reactively.

Starting at$2,997
AI Client Onboarding & KYC Automation

Onboarding taking 2–4 weeks of manual document collection and verification. New clients frustrated before the relationship has properly started.

What changes

Onboarding time cut to days. Documents collected, verified, and processed without manual chasing. First impression becomes a competitive advantage.

Starting at$2,997
AI Meeting Preparation & Client Summary System

Advisors spending an hour before every client meeting pulling portfolio data, checking notes, and writing talking points that could be generated automatically.

What changes

Meeting brief generated automatically — portfolio snapshot, relevant market context, last conversation summary, suggested agenda. Advisor reviews in 5 minutes, not 60.

Starting at$997
Category 02

Business Development & Client Portal

For growing the book — pipeline automation, referral management, and the client-facing portal that signals a professional-grade operation.

AI Lead Scoring & Pipeline Automation

Inbound enquiries treated equally regardless of AUM potential. High-value prospects getting the same response time as low-value ones. Pipeline visibility is a spreadsheet nobody trusts.

What changes

Prospects scored and prioritised automatically. High-AUM leads fast-tracked. Pipeline visibility is real data, not best guesses.

Starting at$997
Referral Partner Programme Automation

Accountants, solicitors, and IFAs referring clients informally. No tracking of which referrers are most valuable. No structured touchpoint system to maintain those relationships.

What changes

Every referral source tracked and scored. Touchpoint cadence runs automatically. Best referrers deepened. Cold ones caught before they go quiet.

Starting at$997
Wealth Management Client Portal & Self-Service

Clients calling to check balances, request statements, or ask questions that a portal would answer instantly. Every call is advisor time on admin, not advice.

What changes

Branded client portal with real-time portfolio visibility, document vault, and automated statement delivery. Inbound admin calls drop significantly. Client satisfaction scores rise.

Starting at$2,997
Category 03

Compliance & Reporting

For managing the documentation, audit trails, and client reporting that regulators require and advisors resent spending time on.

AI Compliance Documentation & Audit Trail System

Compliance documentation created manually and inconsistently. Audit trails incomplete. The next regulatory review will find gaps that could have been prevented with proper systems.

What changes

Every client interaction logged automatically with appropriate compliance metadata. Audit trail complete and defensible. Regulatory reviews become manageable rather than stressful.

Starting at$2,997
AI-Generated Client Reporting & Portfolio Commentary

Advisors spending Tuesday mornings writing quarterly reports. Same structure, different numbers, every quarter. Hours of senior time on work that follows a template.

What changes

Reports generated automatically — portfolio data, performance commentary, market context, and personalised notes. Advisor reviews and signs off in 10 minutes. That is Tuesday morning back.

Starting at$2,997
Category 04

Insurance & Lending Automation

For mortgage brokers, insurance brokers, and lending businesses — the application, underwriting, and document chase workflows that define processing capacity.

Insurance Quote & Application Automation

Brokers manually collecting client data, running quotes across multiple providers, assembling comparison documents. The same process, every client, every time.

What changes

Data collected once, quotes run automatically across providers, comparison document assembled and ready. Broker reviews and advises. Time per application cut by 60–70%.

Starting at$997
Mortgage & Lending Pipeline Document Automation

Processors chasing the same missing documents from the same applicants for weeks. Applications stalling not because of credit decisions but because of administrative gaps.

What changes

Automated document chase sequence runs without processor involvement. Applications that stall get unstuck automatically. Pipeline velocity increases without adding headcount.

Starting at$997
INVESTMENT LEVELS

Not sure which scope to start with?

Most firms start with a Starter build, see results in 3–4 weeks, then scope what's next from a position of confidence.

Starter

One focused build. Meeting prep automation, lead scoring, or referral tracking — results before you commit to anything bigger.

Starting at$997
Typical build: 2–4 weeks
Most Popular

Growth

CRM at the core with connected client management, compliance workflows, and at least one AI agent. The firm starts operating like a significantly larger business.

Starting at$2,997
Typical build: 4–8 weeks

Enterprise

Custom agents, deep integrations with portfolio management and compliance systems, regulatory reporting automation, and ongoing optimisation.

PricingCustom
Typical build: 10–16 weeks
50+Agentic Builds
200+Enterprise Clients
90+Certified Developers
0Failed Builds
They understood how our business actually works and built something our team uses every single day.
Eugene Klimaszewski — President, Mammoth Securities
SK
SM

Every financial services build is led by one of us directly.

Financial services implementations involve regulatory obligations, sensitive client data, and compliance requirements that most development teams configure incorrectly. Shivam Kapoor and Sonam Malhotra are active on every project — compliance configuration is built into every build from day one, not retrofitted at the end.

READY WHEN YOU ARE

Know exactly what your firm
needs to build. In 30 minutes.

Free audit. We map which agents and implementations fit your specific firm, in what order, and what outcome to expect from each one.

No commitment. No slide deck. Just clarity on what to build first.
FINANCIAL SERVICES AI — QUESTIONS FIRMS ARE ACTUALLY ASKING

What financial services firms ask us — answered straight.

The agents in widest deployment are KYC and AML agents (entity resolution, sanctions screening, adverse-media review, SAR drafting), wealth advisor copilots (portfolio summarisation, meeting prep, client communication drafts), loan origination agents (document collection, income validation, fraud checks, underwriting routing), and fraud investigation agents (case file building, disposition report drafting). JPMorgan is building six distinct agent functions simultaneously. Goldman Sachs and Citi deployed Devin across 12,000 engineers. Bank of America, Wells Fargo, and Capital One all have KYC agent programmes in production today.
A KYC and AML agent performs entity resolution across multiple data sources, runs sanctions screening against OFAC and international watchlists, conducts adverse-media searches, assesses risk scores against your firm's risk appetite, and drafts Suspicious Activity Reports for compliance officer review. The compliance team reviews flagged cases and approves SARs — they do not manually execute each step for every client. This is the most-procured agent category across Tier-1 banks in 2026.
Focused single builds — meeting prep automation, referral tracking, or insurance quote automation — start at $997. CRM implementations connecting pipeline, client communications, and compliance workflows run from $2,997. Custom AI agent builds such as KYC agents, fraud investigation agents, and wealth advisor copilots are quoted individually. The scoping call is free and takes 30 minutes.
Yes. For UK FCA-regulated firms, AI tools are subject to Consumer Duty obligations, data must be handled under UK GDPR, and AI-assisted client communications require appropriate oversight and audit trail. For SEC-regulated firms, recordkeeping requirements apply to AI-generated communications and advice. Amroar configures every financial services build with appropriate audit trails, access controls, and data residency as standard. Compliance configuration is not an add-on — it is part of every project from day one.
Yes. Portfolio reporting agents pull holdings data, performance figures, and market context from connected systems, structure the client report, write the commentary section calibrated to the client's risk profile, and deliver a review-ready document. The advisor reviews, personalises where needed, and sends. Goldman Sachs and Morgan Stanley are rolling this capability out across research and private banking teams. For a 50-advisor firm, this typically recovers 4 to 6 hours of senior advisor time per week.
Salesforce Financial Services Cloud is purpose-built for wealth management, insurance, and banking — with household modelling, financial account tracking, and regulatory workflow built in. It is the right tool for firms with complex relationship structures. For smaller advisory businesses, mortgage brokers, and insurance brokers, a properly configured standard Salesforce or HubSpot implementation delivers the core functionality at lower cost and faster implementation time. Amroar recommends based on your specific firm structure, client complexity, and regulatory requirements.
Wealth management AI focuses on relationship intelligence — portfolio commentary, meeting preparation, client communication, and retention signals for high-value relationships. Retail banking AI focuses on process automation at volume — KYC, loan origination, fraud detection, and customer support deflection across large customer bases. The tools and architectures differ significantly. Amroar builds for both, and the audit call determines which pattern fits your business before any scoping begins.
A focused single implementation — meeting prep automation, referral tracking, or insurance quote automation — goes live in 2 to 4 weeks. CRM implementations connecting pipeline, compliance, and client communications run 6 to 10 weeks. Custom AI agent builds such as KYC agents or fraud investigation agents are 10 to 16 weeks depending on system integrations and regulatory configuration. Amroar has never missed a delivery date.
Amroar builds rather than advises. Shivam Kapoor and Sonam Malhotra are active on every project — not account managers handing work to a delivery team you have never met. Amroar has completed 50 plus agentic implementations with zero failed builds. In financial services, compliance configuration is not optional — it is built into every project from the start. Firms that have used advisory-only consultancies often come to us to build what was recommended.

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