Independent technology advisory

Find your fix.
Set the course.
Make it hold.

Reckoning Labs advises fintech and technology leaders on payments strategy, engineering leadership at scale, M&A technology diligence, and forward-deployed AI engineering — working inside client teams, where the work will be used.

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ENGAGEMENT APPROACH
01ReadTHE SIGNAL
02DecideDIRECTION
03ExecuteTHE FIX
Startup → acquisitionLed the technical workstream through M&A and integration into a global network
Multiple products deliveredPayments, banking, retail, and loyalty applications
National real-time payments platformBuilt from scratch, then expanded globally
Applied AI expertiseHands-on work across agentic systems, evaluation, and AI-enabled delivery
01 / SERVICES

Experience, applied.

A

Fintech & Payments Strategy

Shape product and platform decisions for real-time payments and regulated financial infrastructure.

  • Product and platform strategy
  • Real-time payments infrastructure
  • Architecture reviews and target state
B

Engineering Leadership & Scale

Build the leadership, organizational, and technical foundations needed to deliver reliably at scale.

  • Engineering operating models
  • Organization design and scaling
  • Cloud and multi-region platforms
C

Forward-Deployed AI Engineering

Practical AI adoption, delivered from inside the operation — map workflows and pain points, test existing tools against them, and build agentic applications where they fall short.

  • Embedded workflow discovery
  • Existing tools and gap assessment
  • Agentic AI implementation
D

M&A Technology & Integration

Technology judgment for transactions and what follows — from diligence and readiness through integration planning and execution.

  • Technology diligence and M&A readiness
  • Architecture and platform assessment
  • Integration planning and execution support
02 / THE SIGNAL

Every reckoning starts with a signal.

The Reckoning Signal is the assessment method behind the advice — ten lenses, read in four passes, before any recommendation is made.

01The system

What exists, how it fits together, and whether it does what the business believes it does.

  • 01 Inventory
  • 02 Architecture
  • 03 Requirements coverage
02The exposure

Where the system is fragile, exposed, or expensive to change.

  • 04 Technical debt
  • 05 Security & compliance
  • 06 Reliability & operations
03The engine

Whether the people, process, and operating model can actually deliver.

  • 07 Engineering organization
  • 08 Delivery capability
04The value

Whether spend and AI ambition match reality and return.

  • 09 Technology economics
  • 10 AI readiness

THE STANDARD Every finding carries its evidence, its confidence level, its business impact, and a named next action.

03 / THE APPROACH
01

Read

Read the system through the Signal’s ten lenses — the system, the exposure, the engine, the value — and surface the constraint beneath the symptoms.

02

Decide

Make tradeoffs explicit. Align leadership around a direction that can survive contact with reality.

03

Execute

Translate the decision into ownership and milestones — then execute it in whatever form the work takes: put the strategy into motion, align the organization and lead it through the change, advise on the technology side of a merger or acquisition — the diligence that helps the deal close — configure and connect the systems already in place, and build the agentic workflows and applications that fill the remaining gaps — working inside the client’s operation.

THE MODEL — FORWARD-DEPLOYED

Advisory is the way in. The engagement starts inside the client’s world: learn the domain, watch how the work actually flows, and test the existing tools against the real pain points. Where things fall short is where the engagement earns its keep: whatever the gap needs — strategy, leadership, working software, or guidance — is what it delivers.

04 / ABOUTFOUNDER
TONY HOWARD

Operator’s judgment. Engineer’s depth.

Tony Howard is the Founder & Independent Technology Advisor of Reckoning Labs LLC. He brings 15+ years of engineering and technology leadership, most recently as a technology executive and engineering leader at a large global network company, where he led a global money-movement platform and a large, distributed engineering organization delivering cloud-native services across multiple regions.

Previously at a fintech startup, Tony helped build a national real-time payments system from scratch. His experience also includes PCI DSS and SOC 2 trust infrastructure, GDPR-driven multi-region expansion, product strategy, architecture, and organizational transformation.

15+ years in technology leadership
Technology executive & engineering leader
PCI DSS, SOC 2 & GDPR environments
Product, architecture & organizational scale
05 / START HERE

What are you trying to make true?

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