Does SPD Technology's merchant acquisition AI replaces our current payment processor or onboarding vendor?

No, our microservices augment your current setup rather than replace it. They plug directly into your existing APIs to handle specialized tasks like document processing or statement analysis. That’s different from a custom-built merchant onboarding module , which starts from zero for teams that don’t have a stack yet — here, your core payment processor, CRM, and system of record remain untouched, allowing you to add advanced capabilities without undergoing a platform migration.

Which block should we pilot first?

We recommend starting with the microservice that targets your primary operational bottleneck. For most acquiring organizations, this means deploying Document Intelligence to clear application backlogs or Statement Analysis to reduce manual sales overhead. Our engineers assess your current workflow during scoping to help you select the initial block with the highest operational return.

How is a block priced — per merchant, per API call, or a flat engagement?

We offer flexible commercial models tailored to your transaction scale and integration strategy. Pricing models accommodate flat monthly service fees for established volumes, or milestone-based engagement structures. We confirm all pricing parameters during your initial technical scoping call.

What happens to the block's decisions if we later switch onboarding platforms?

Because our microservices are API-driven, they remain fully independent of your primary onboarding software or CRM. If you switch platform vendors in the future, your team simply redirects your new system’s API connections to the existing blocks. You retain your custom risk scoring configurations, trained models, and decision logic without interruption.

Can compliance audit an individual AI decision after the fact?

Yes — every decision generated by a microservice includes a deterministic audit trail detailing input data, confidence metrics, and specific scoring rules applied, with specialized AI agents acting as traceable co-pilots in individual decisions rather than a black box. Automating support workflows this way still means every step gets preserved for audit review. The system logs the exact logic path for every approval, decline, or manual routing flag, so your risk and legal teams can defend any decision during internal audits or regulatory reviews.

Do we need our own data science team to run this?

No, SPD Technology delivers fully engineered, production-ready microservices backed by our ongoing technical support, the same team behind our AI consulting for payments work. Our engineers handle model calibration, API maintenance, and performance tuning alongside your team. Your risk officers and operations managers get secure access to simple management interfaces where they can create or adjust business rules without needing an in-house data science team.

Composable Merchant Acquisition AI for Existing Payment Stacks

SPD Technology builds merchant acquisition AI components that plug into the infrastructure you already run — no multi-month migration required. Our modular components automate document intake, merchant underwriting, data enrichment, statement analysis, and merchant communication, seamlessly integrated into your core system. Backed by 20 years of fintech engineering and 650+ engineers across European delivery centers.

SPD Technology
Composable Merchant Acquisition AI for Existing Payment Stacks

The Problem We Solve

Merchant application review should take minutes. Instead, it takes days — because operations teams still read every document. Underwriting capacity is capped by headcount, so during peak sales cycles, applications simply pile up faster than your team can review them.

The same bottleneck hits your sales side: agents lose hours manually analyzing competitors’ payment statements just to build a proposal. That’s time they should be spending on selling — and it directly caps how many deals close each month.

The obvious fix — building an in-house AI team — isn’t realistic for most acquirers. It demands capital and engineering time that’s better spent on your core payment processing.

Targeted workflow automation solves this without that trade-off. It plugs into your existing intake pipeline, removes the manual document and statement work without scaling headcount — all while keeping the risk controls your team already relies on.

Who This Is For

Select the initial components that targets your primary operational constraint.

Acquiring Banks & PSPs
Modernize legacy onboarding and risk scoring environments without triggering a costly core platform replacement.
ISOs & Payment Facilitators
Accelerate merchant conversion by automating complex processing statement analysis and proposal generation using AI for ISOs.
Merchant Networks & Marketplaces
Handle sudden spikes in merchant application volume without expanding back-office operations or increasing review overhead.
Fintechs Entering Payments
Implement enterprise-grade underwriting and compliance controls from day one without assembling an in-house data science team.

When Merchant Acquisition Automation Makes Sense

Merchant acquisition automation provides immediate, measurable returns when specific operational metrics reach capacity:

Merchant onboarding still takes days because someone has to read every document by hand
Your underwriting team can’t scale risk review without adding headcount
ISO agents spend more time on paperwork and statement analysis than on selling
Compliance won’t sign off on AI they can’t audit line by line
You’ve evaluated onboarding platforms, but re-platforming isn’t on this year’s roadmap

Add AI to Merchant Acquisition Without Replacing Your Stack

Review our integration specifications to see how microservices connect to your APIs.

From rip-and-replace of your merchant onboarding or risk stack
Relying on monolithic platform vendors forces you to abandon your existing infrastructure for rigid, rule-based systems, creating high operational risk instead of a modular approach. The switch touches every team that depends on the old system at once, turning a single migration date into a single point of failure.
To plugging in alongside the systems you already run
We deploy stateless, API-first microservices directly into your current architecture, enhancing your intake capabilities while keeping your core platform intact. This isn’t just an add-on — they function as a unified intelligence layer across your existing stack, orchestrating multiple AI functions in one cohesive architecture.
From 6–12 month platform evaluation and migration
Traditional platform overhauls consume immense engineering resources, dragging out time-to-value behind lengthy vendor evaluations and complex database migrations. Teams lose months to procurement cycles and environment setup before a single real transaction ever touches the new system, while the business keeps running on the process it was meant to replace.
To piloting one block against a real workflow in weeks
We integrate a single microservice into your active stack alongside live or historical data, delivering immediate, measurable production results within weeks, while giving pilot teams a chance to validate real time monitoring and predictive analytics for fraudulent activity before broader rollout, not against a static test set built months in advance.
From vendor lock-in once you’re on the platform
All-in-one SaaS environments trap your data and workflows, making future platform adjustments costly, rigid, and technically difficult to reverse. Every downstream process ends up built around one vendor’s assumptions, so unwinding that dependency later means rebuilding workflows from scratch, even when only one small piece needs to change.
To stateless and reversible integration
Our microservices operate as independent, modular components that can be adjusted or removed at any time without breaking the rest of your system, letting the architecture handle complex multi-step workflows through specific sub-services that each perform a particular function, giving your team the ability to add or remove a block without waiting on a vendor’s release cycle.
From all-or-nothing commercial commitment
Upfront platform deals demand heavy financial expenditure and total organizational buy-in before a single real merchant application is processed, tying up the budget that could otherwise go toward revenue-generating growth elsewhere in the business. Leadership has to commit to the full contract and timeline before anyone can confirm the platform solves the problem it was bought for.
To starting with one block and adding more once it proves out
You validate performance and ROI on one bottleneck first, then scale adoption across the catalog as your business requires. Your team stays in control of managing the rollout pace, expanding into other corners of digital commerce only once the current block proves itself — paying for capability you use today, not features consumers may never touch.

Ready to see which block fits first? A 30-minute call to map your current stack against the block catalog — no commitment, no proposal pressure.

Review Your Architecture

Prasad Sridhar

Senior Engineering Manager eCommerce Solutions Company

SPD Technology’s work has been praised by the client for their consistency and high quality. Their communicative, responsive, and flexible project management ensures a positive collaboration. Ultimately, their professionalism and forward-thinking are impressive.

The AI Merchant Acquisition Block Catalog

Tell our engineering team your technical goals to receive a tailored component selection.

Category	Blocks in this category	What it automates
Document Intelligence	Application Extractor, Document Classifier, KYB Assembler	Extracts and classifies merchant application documents automatically using document intelligence and NLP — nobody re-types a PDF by hand
Risk & Decisioning	Risk Scorer, MCC Classifier, Chargeback Predictor, Sanctions Screener	Applies merchant risk scoring AI and KYB, KYC, and transaction fraud detection, with ai models using transaction data to forecast future merchant performance and compatibility with payment gateways that support diverse payment methods, including digital wallets,backed by AI-driven underwriting automation, so only the applications that need a human reach one
Data Enrichment	Business Verifier, Website Analyzer, Volume Estimator	Confirms who a merchant is and what they actually do, without a manual web search
Statement Analysis	Fee Extractor, Pricing Detector, Savings Calculator, Proposal Builder	Merchant statement analysis AI turns a competitor’s processing statement into a priced, branded proposal
Communication	Proposal Generator, Decline Explainer, Rate Narrator	Generates the merchant-facing explanation behind any pricing or underwriting decision using agentic AI for merchant communication

Blocks in this category

Application Extractor, Document Classifier, KYB Assembler

Risk Scorer, MCC Classifier, Chargeback Predictor, Sanctions Screener

Business Verifier, Website Analyzer, Volume Estimator

Fee Extractor, Pricing Detector, Savings Calculator, Proposal Builder

Proposal Generator, Decline Explainer, Rate Narrator

What it automates

Extracts and classifies merchant application documents automatically using document intelligence and NLP — nobody re-types a PDF by hand

Applies merchant risk scoring AI and KYB, KYC, and transaction fraud detection, with ai models using transaction data to forecast future merchant performance and compatibility with payment gateways that support diverse payment methods, including digital wallets,backed by AI-driven underwriting automation, so only the applications that need a human reach one

Confirms who a merchant is and what they actually do, without a manual web search

Merchant statement analysis AI turns a competitor’s processing statement into a priced, branded proposal

Generates the merchant-facing explanation behind any pricing or underwriting decision using agentic AI for merchant communication

Built to Survive an Audit, Not Just a Demo

Deploying automation into payment processing requires strict regulatory compliance and precise operational governance. Our architecture applies robust AI compliance merchant acquisition principles across every step of data processing. Built by experienced professionals who understand fintech software development services, our engineering guarantees that your data flows remain fully secure, traceable, and audit-ready.

ISO 27001 Security Framework
Operational controls and data processing protocols align strictly with ISO 27001 information security practices. Leading banks and processors across the payments ecosystem hold vendors to this same bar before letting any block near production data.
PCI-Safe Data Isolation
Financial data, account information, and merchant credentials pass through isolated environments designed for PCI DSS compliance — the baseline standard for handling digital payments data at scale. That isolation holds whether you’re testing against one merchant record or running full production volume.
Complete Auditability and Real Time Risk Scoring
Every automated assessment generates a deterministic audit log detailing exact decision parameters, data inputs, and scoring logic, creating a unified view across multiple systems and helping reviewers point to the exact factor behind an outcome — the same report compliance teams already expect on hand during an audit.
Human-in-the-Loop Decision Controls
Applications that fall outside predefined confidence or risk thresholds are automatically routed to human reviewers instead of being approved or declined by AI alone. Risk officers remain in control of final decisions while the system handles routine applications automatically. Every recommendation includes a transparent explanation and complete audit trail, making AI decisions reviewable rather than opaque.

From Pilot to Production, One Block at a Time

Get a step-by-step breakdown of how a single-block pilot fits into your current sprint cycle.

Architecture Review
Our engineers analyze your existing intake infrastructure, evaluate your current data pipelines, and select the single microservice that addresses your most critical operational constraint. We establish clear baseline metrics to measure success during testing. This starts with mapping your underwriting workflows alongside the rest of your intake infrastructure.
Pilot Integration
We deploy a single API-connected block into a test environment alongside your live workflow, giving your team secure access while keeping the experience clear for internal users. This phase runs parallel evaluations against historical application data to confirm real-world performance without altering live outcomes.
Human-in-the-Loop Tuning
Your risk officers refine decision thresholds and routing rules until the block’s judgment matches how your team already reviews an application — calibrated against real cases your team has flagged before, not a generic industry baseline. That means fewer legitimate merchants get blocked for simply not fitting a standard profile, and every score comes back as a reason your team can act on, not a black box.
Production Rollout
The calibrated microservice goes live within your operational stack. Your primary databases and systems of record remain the single source of truth throughout the entire processing cycle, including everything downstream through settlement. Where new protocols or data formats are introduced on your side, the block adapts to them rather than requiring a redeployment. The result is measurable operational efficiency: the same review volume moving through fewer manual touchpoints, without any change to who owns the final decision.
Expand the Catalog
Once the initial microservice achieves its operational targets, your team can integrate additional blocks at your own pace. Churn prediction can flag declining acceptance rates or volume volatility before merchants leave, enabling earlier intervention to protect portfolio economics. Other blocks can optimize routing, recommend payment methods, and reduce cross-border transaction costs — extending the same automation into value-added services your team controls.

Ready to identify the best first AI block for your stack? We’ll review your architecture, and outline the fastest path from pilot to production.

Schedule a Technical Scoping Call

SPD Technology vs. the Alternatives

Selecting the right AI integration strategy dictates how fast your payment operations adapt to market changes and how quickly your merchant acquiring team moves from cost-focused execution to data-driven risk management. Obtain a complete cost model and implementation schedule tailored to your intake volume, with AI-driven monitoring and machine learning helping mitigate risk through transaction analysis and fraud detection.

Dimension	SPD Technology’s Blocks	Compliance SaaS Platform	Build In-House
Time to first result	Weeks, one block at a time	Fast, but locked to their workflow	Months, competes with your roadmap
Fits your existing stack	Yes — plugs into what you run	You adapt to their platform	Yes, by definition
Ongoing ownership	You own the integration; we own delivery	Vendor-controlled roadmap	Your team, indefinitely
Coverage	Document, risk, enrichment, statement analysis, communication	Usually risk/fraud only	Whatever you build

Dimension

Time to first result

Fits your existing stack

Ongoing ownership

Coverage

SPD Technology’s Blocks

Weeks, one block at a time

Yes — plugs into what you run

You own the integration; we own delivery

Document, risk, enrichment, statement analysis, communication

Compliance SaaS Platform

Fast, but locked to their workflow

You adapt to their platform

Vendor-controlled roadmap

Usually risk/fraud only

Build In-House

Months, competes with your roadmap

Yes, by definition

Your team, indefinitely

Whatever you build

Trusted Globally by Innovation-Driving Companies

From Fintech industry stalwarts to industry-leading eCommerce providers, we ensure the comprehensive alignment between emerging technologies and established business processes.

An American financial services firm that provides investment research and investment management services
Financial data and software company with offices in London, New York, San Francisco, and Seattle.
All-in-one omni commerce payment solution with contactless, fast, secure, and safe payment processing
One of the most recognizable landmarks, a company that specializes in innovative travel and hospitality services
SaaS XSPN – Next Generation Application & Cloud Security Posture Management
A leading tech-enabled insurance company that provides workers’ comp coverage to small businesses
A UK-based provider of online payment solutions to businesses of all sizes worldwide

Certified

By Independent Organizations

Helping global businesses implement Adyen payment solutions with secure architecture and optimized transaction flows.

Confirmed by Oracle certification, our company provides top-notch tech expertise in building and delivering cutting-edge database and cloud-based apps.

IIBA Certification signifies our proficiency in business analysis, ensuring a deep understanding of client needs and industry requirements.rn

With AWS Certification, we guarantee top-tier cloud expertise, enabling us to architect robust, scalable, and secure solutions.

Trusting your project development to us, you can rely on our project management excellence, meticulous planning, and efficient resource utilization. rn

Our Scrum Alliance Certification demonstrates our dedication to agile methodologies, fostering collaboration and iterative development.rn

Backed by Scrum.org Certification, our development team leverages the best principles of Scrum to build superior and iterative software solutions.

Tell us which part of merchant acquisition is slowest today. We’ll come back with the block that fixes it first.

Request a Proposal

FAQ

Does SPD Technology’s merchant acquisition AI replaces our current payment processor or onboarding vendor?
No, our microservices augment your current setup rather than replace it. They plug directly into your existing APIs to handle specialized tasks like document processing or statement analysis. That’s different from a custom-built merchant onboarding module, which starts from zero for teams that don’t have a stack yet — here, your core payment processor, CRM, and system of record remain untouched, allowing you to add advanced capabilities without undergoing a platform migration.
Which block should we pilot first?
We recommend starting with the microservice that targets your primary operational bottleneck. For most acquiring organizations, this means deploying Document Intelligence to clear application backlogs or Statement Analysis to reduce manual sales overhead. Our engineers assess your current workflow during scoping to help you select the initial block with the highest operational return.
How is a block priced — per merchant, per API call, or a flat engagement?
We offer flexible commercial models tailored to your transaction scale and integration strategy. Pricing models accommodate flat monthly service fees for established volumes, or milestone-based engagement structures. We confirm all pricing parameters during your initial technical scoping call.
What happens to the block’s decisions if we later switch onboarding platforms?
Because our microservices are API-driven, they remain fully independent of your primary onboarding software or CRM. If you switch platform vendors in the future, your team simply redirects your new system’s API connections to the existing blocks. You retain your custom risk scoring configurations, trained models, and decision logic without interruption.
Can compliance audit an individual AI decision after the fact?
Yes — every decision generated by a microservice includes a deterministic audit trail detailing input data, confidence metrics, and specific scoring rules applied, with specialized AI agents acting as traceable co-pilots in individual decisions rather than a black box. Automating support workflows this way still means every step gets preserved for audit review. The system logs the exact logic path for every approval, decline, or manual routing flag, so your risk and legal teams can defend any decision during internal audits or regulatory reviews.
Do we need our own data science team to run this?
No, SPD Technology delivers fully engineered, production-ready microservices backed by our ongoing technical support, the same team behind our AI consulting for payments work. Our engineers handle model calibration, API maintenance, and performance tuning alongside your team. Your risk officers and operations managers get secure access to simple management interfaces where they can create or adjust business rules without needing an in-house data science team.

Alex Samano

Co-Founder & CEO, Mogami App

SPD Technology has done a great job of maintaining the lifeblood of their codes. They’re transparent with pricing models and deliver within budget. Their dedicated teams act as an extension of the partner’s company. Responsibility and a commitment long-term partnership are two hallmarks of their work.