Cloud, data and AI delivery for financial services
Every change has to satisfy a regulator as well as a customer. We build the platform and the evidence trail together, so shipping faster does not mean explaining more.
- AWS Premier Tier Services Partner, the top tier of the AWS network
- Generative AI competency The only GenAI and MSP partner in Canada
- Agentic AI Specialization Selected Canadian partner
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SOC 2 Type 2 + ISO 27001
Independently audited
What is changing in financial
- 90%+ of bank data users say the data they need is unavailable or hard to use Deloitte, October 2025
- 236.6bn US noncash payments in 2024, up 31.9 billion since 2021 Federal Reserve, July 2026
- $12.5bn reported lost to fraud in the US in 2024, a quarter more than the year before Federal Trade Commission, March 2025
Who we work with in financial services
The financial institutions we build for, and what each of them has to prove.
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Retail and commercial banks
Core systems that cannot stop while everything around them changes.
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Capital markets
Latency, lineage and a regulator who asks how a number was produced.
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Insurance
Claims and underwriting where the document is the process.
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Payments and fintech
Volume, fraud and a release cadence the incumbents cannot match.
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Wealth and asset management
Client data spread across custodians, platforms and spreadsheets.
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Lenders
Origination and servicing that has to be fast and provable at once.
From onboarding to reporting in five stages
One chain from the first customer document to the regulator’s report. Each stage names the services that serve it, so the page routes into the work rather than describing it.
What happens here
Documents are read, checked and routed, and every decision is recorded as it is made rather than reconstructed later.
What you get
A document service in your account, with its accuracy measured.
The failure it prevents
A five-day onboarding that loses the customer on day two.
Services behind this stage Generative AI for financial services Agentic AI
What happens here
Core functions move off the monolith in slices, each one reversible and separately testable, so a risk committee can actually approve it.
What you get
A working slice in production, and the pattern for the next one.
The failure it prevents
A big-bang migration nobody is willing to schedule.
Services behind this stage Cloud migration Engineering
What happens here
Fraud and risk signals are scored in motion, with the reasons kept beside the score so a decision can be explained.
What you get
A scoring service with its features and reasons logged.
The failure it prevents
A model that flags a transaction and cannot say why.
Services behind this stage Data architecture Security
What happens here
One customer record serves the app, the branch and the call centre, without waiting for a nightly batch.
What you get
A customer data service your channels call directly.
The failure it prevents
Three channels giving one customer three different balances.
Services behind this stage Data architecture Cloud and DevOps
What happens here
Regulatory reporting runs off governed data with lineage, so an audit is a query rather than a project.
What you get
Lineage, controls as code, and evidence collected as they run.
The failure it prevents
A quarter spent reconstructing how a number was produced.
Services behind this stage Security Managed services
our Core focus area
Core Banking Modernization
Core Banking Modernization
Core functions move off the monolith in slices, each one reversible and separately testable. The integration boundary stays explicit, so the existing system remains authoritative until the new path has proved itself. That turns a multi-year programme into a series of changes the bank can stop at any point.
Benefits
- API-first, cloud-native architecture
- New products released faster
- Transactions and balances in real time
AI-Powered Fraud Detection
AI-Powered Fraud Detection
Behavioural models score risk in motion, with the reasons kept beside the score. Features are computed once and served to both training and production, which stops a model behaving differently on the day it goes live. Analysts can see why a transaction was flagged, so a decision can be explained to a regulator.
Benefits
- Fraud scored in real time
- Models that adapt to new patterns
- Fewer false positives to investigate
Digital Onboarding & KYC Automation
Digital Onboarding & KYC Automation
Identity checked, watchlists screened and decisions recorded, in a flow a customer will finish. Document extraction and screening run in the same pipeline as the audit trail, so every step is evidenced as it happens. Onboarding is measured in minutes and the file is ready for review without assembly.
Benefits
- Documents verified in the flow
- AML and PEP screening automated
- Onboarding measured in minutes
Open Banking & API Enablement
Open Banking & API Enablement
Secure API ecosystems for open finance, with consent, governance and third-party access handled properly. Gateways, scopes and consent records are part of the platform rather than a layer added afterwards. Partners integrate against a stable contract and compliance can see who accessed what.
Benefits
- Gateway and management layer
- Consent handled and recorded
- Standards met across regions
Cloud-Ready Regulatory Reporting
Cloud-Ready Regulatory Reporting
Reporting runs off governed data with lineage, so an audit is a query. Every figure traces to its source, the version of the rule that produced it and the run that published it. A new requirement becomes a change to the model instead of a quarter of manual reconciliation.
Benefits
- Aggregation and reports automated
- Full audit trail and versioning
- Faster response to a new rule
How we start
Three scoped entry points, each ending in something your team keeps.
Regulatory readiness assessment
Two weeks, fixed scope
- Data lineage, controls and access mapped
- Gaps against the framework you are held to, ranked
- A costed plan your team keeps whether or not we build it
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Most popular
Document AI pilot
Four to six weeks
- One document type, your own files
- Accuracy and handling time measured against today
- A production path if it lands
- Nothing to maintain if it does not
Managed platform and evidence
Monthly
- Platform run, monitored and patched
- Evidence collected continuously for audit
- Named engineers and agreed response times
Questions we get
How do you handle data residency for a regulated workload?
Residency is set in the platform rather than in each application, so it is one decision and one control rather than a promise repeated in six places. Which markets constrain what comes out of the readiness assessment.
Can you work inside our existing change process?
Yes, and it usually improves the evidence it produces rather than bypassing it. Where the process is the bottleneck we say which step and why, and leave the decision with you.
What evidence do you produce for an audit?
Controls expressed as code, lineage from source to report, and the collection running continuously rather than assembled at audit time. The point is that the answer to “show me” is a query.
How small can the first slice of a core migration be?
Small enough to be reversible in an afternoon. If a slice cannot be undone, it is too big, and that is the test we apply before scheduling one.
Who owns the models and the code?
You do. Everything is built in your accounts, in your repositories, under your licences.
Cloud, data and AI for financial services
In financial services the constraint is rarely the model. It is whether a number can be explained, traced to its source and reproduced months later for a regulator. That shapes how the platform is built long before anything is scored.
Dedicatted builds governed data platforms, core modernization in slices and the AI that runs against them. We have delivered this work since 2016 as an AWS Premier Tier Services Partner with the Generative AI and Machine Learning competencies, under SOC 2 Type 2 and ISO 27001.
What we build for banks, insurers and fintechs
- Core modernization in slices, each one reversible and separately testable, instead of a single migration event.
- Fraud and risk scoring in motion, with the reasons kept beside the score so a decision can be defended.
- Regulatory reporting off governed data with lineage, so an audit request is a query rather than a project.
How the work starts
A two week assessment maps the data behind one reporting or decision process, what it costs to govern, and the gaps that would fail a review. You get a costed plan your team keeps. The first build is normally that one process, taken end to end with evidence, before the pattern is applied more widely.
- Document AI for onboarding, claims and know your customer packs, measured against handling time today.
- Open banking and API access with consent recorded and third party access governed.
- Platform and DevOps work included, because a control that is not automated is a control that drifts.
Where a core system is not moving this year, we build around it and keep the integration boundary explicit. That keeps the modernization reversible.
Get started with a financial services consultant
Outline your challenge, whether it is compliance, data platforms or core modernisation. Our team responds within one business day with relevant experience and initial technical insights.
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Our team replies within one business day, with relevant experience and a first read on your problem.