Skip to content

We use Google Analytics to count page views. It sets cookies. Nothing else does, unless you press play on a video.

How we handle your information →
Founding Minds
Let’s talk →
AI Modernization

Your system already knows things. Keep them.

Modernize established software for an AI-first world.

Fifteen years of business rules, exceptions and workflows are the most valuable thing your company owns and the least documented. We modernize around them, not through them.

Modernize around it
Carried forward
Business rules
Exceptions
Workflows
Customer trust
Rebuilt AI-first
Architecture
User experience
Integrations
Routine work, automated
Start with
A two-week assessment
$5,000 fixed fee, led by senior engineers. Recommended, not required.
You leave with
A roadmap you can act on
Not an obligation to build.
Our background
Reading other people’s systems since 2008
Every project starts with the people who run yours.
Who this is for

Products that already work.

  • Your product works, and customers depend on it.
  • Your team knows it better than anyone, with no spare time and little AI experience.
  • You have been quoted a rewrite and are not sure it is the right move.
The difference

What changes when AI is added to an existing product.

AI can take on more of the routine work in software people already use.

Your users keep the screens and workflows they already know. What changes is that the software can answer questions, point out what needs attention, and prepare routine work for review. In some workflows, agents can also carry out actions the business has said they may take.

Traditional software AI-enabled software
Users navigate screens to find information Users can also ask questions and retrieve relevant information
Users manually gather and prepare information AI extracts, organizes and prepares information for review
Workflows follow predefined business rules AI interprets context while business rules continue to govern execution
Reports show historical activity AI surfaces patterns, exceptions and recommended actions
Users coordinate work across applications Agents coordinate supported tasks across integrated systems

What does this look like in practice?

Take month-end financial close.

Traditional software

Finance teams gather data, reconcile accounts, investigate discrepancies, prepare journal entries, and chase approvals.

AI-enabled software

AI prepares reconciliations, flags discrepancies with the supporting records, drafts journal entries, and routes approvals. People review the exceptions and sign off where the business requires it.

The shiftFrom manually managing the close to managing by exception.

The impactLess time spent on preparation and coordination, and more time for review and decisions.

The model

Preserve. Modernize. Transform.

The best path to AI-first isn't starting over. It's building on what already makes your product valuable.

  1. 01

    Preserve

    Retain what makes the product valuable.

    Years of domain expertise, business rules, workflows, and customer understanding are embedded in your existing software. Much of this knowledge is undocumented and difficult to recreate.

    We uncover and preserve this intelligence, separating valuable business logic from legacy limitations so it can power the next generation of your product.

  2. 02

    Modernize

    Build the foundation for what comes next.

    We evolve your architecture, integrations, data foundations, and user experience to make applications more flexible, scalable, and AI-ready.

    We modernize what needs to change and keep what already works.

  3. 03

    Transform

    Change what your product can do.

    We introduce intelligent workflows, AI agents, and context-aware automation that interpret requests, coordinate work, prepare actions, and carry out authorized ones within defined business controls.

    Agents work through the business functions your application already has. Your product moves from helping users perform tasks to handling routine work on their behalf, with authorization, validation and approvals wherever the business requires them.

    See three ways we do this →
Transform in practice

Three ways we introduce AI into existing systems.

We look at each application and decide where AI helps, where ordinary automation is enough, and what is better left alone.

  1. Embed intelligence in the application

    Add extraction, classification, summarization, recommendations or natural-language search inside the screens and workflows people already use.

    Your business logic and data stay where they are. The intelligence is added around them.

  2. Introduce agents that work through governed business functions

    Agents interpret requests, coordinate work, and carry out permitted actions through your application’s existing business functions, under the rules and approvals you already have.

    Agentic finance operations →Multi-agent orchestration →
  3. Understand and automate difficult legacy environments

    Understand and automate applications that lack modern APIs, standard interfaces, or usable integration points. We combine application analysis and intelligent automation to extend what these systems can do, even when conventional integration approaches are limited.

    Intelligent UI Automation →

    How we combined visual reasoning with reusable execution to automate workflows through existing application interfaces.

    Active engineering
Delivery

AI accelerates engineering. Experience makes it count.

AI-assisted engineering accelerates development, testing, and modernization. But understanding complex business logic, making sound architectural decisions, and building reliable production software still require experienced engineers who know your domain.

We combine both—AI-powered delivery with the judgment and accountability of an experienced engineering team.

How it runs

A typical path from assessment to execution.

Start small. Prove value. Scale with confidence.

Most engagements follow this path, without a large upfront commitment. Each stage delivers tangible outcomes and informs the next investment. The assessment is recommended but not required. If you would rather start with a conversation, contact us directly.

  1. 01

    Assess

    Know what to preserve, what to change, and where to start.

    In two weeks, we work with your domain experts and review your existing systems to identify modernization opportunities.

    Fixed fee: $5,000 | Two weeks

    You receive a prioritized Preserve / Modernize / Transform roadmap, effort and cost estimates, and clear recommendations on what not to build.

  2. 02

    Prove

    Validate the value before scaling the investment.

    We select a high-impact opportunity and deliver a working pilot against a real business workflow, with an agreed scope, timeline, and success criteria.

    You validate the approach with working software before committing to a broader program.

  3. 03

    Scale

    Modernize progressively, without disrupting what works.

    A dedicated engineering team executes your roadmap in priority order, working alongside your product and domain experts.

    We deliver improvements incrementally, incorporating feedback and expanding AI-first capabilities as value is demonstrated.

Straight answers

What you should expect us to say no to.

Not every application needs rebuilding. Not every workflow needs an AI agent. And not every problem needs AI.

We'll tell you what to modernize, what to leave alone, and where the investment simply isn't justified.

Our job is to help you make the right investments.

The proof: Financial Services →
In practice
Legacy platform modernization →

A decades-old financial workflow platform modernized through phased migration, preserving business rules and operational continuity while introducing new interfaces and integration capabilities.

Agentic finance operations →

A production finance operations platform extended with governed AI orchestration, demonstrating how agents can work through established application capabilities, business rules, and authorization controls.

AI app builder →

An AI application builder engineered on an existing enterprise-grade platform, so generated applications inherit established security, authentication and data access instead of replacing proven infrastructure.

Where to start

Have an application you're considering modernizing?

The two-week assessment is the recommended starting point: $5,000, fixed fee, with a prioritized roadmap at the end. It is not required. If you would rather talk first, contact us directly.