Software Development
Custom software development
Design and build products, portals, internal applications, workflow tools, and integrations around how people work.
SOFTWARE ENGINEERING · AI INTEGRATION · MODERNIZATION
Build what’s next. Improve what’s already there.
Archex helps businesses build digital products, integrate AI into practical workflows, connect systems, and improve software they depend on.
Engineering workflow
IllustrativeStage 02 / Plan
Set explicit delivery boundaries, choose proportionate architecture, and agree on measurable evaluation criteria.
UnderstandPlanBuildDeliver
What we do
Engineering for what comes next.
Capabilities shaped around real business problems and maintainable delivery.
AI & ML Development
AI integration engineering
Add AI features to products and workflows with evaluation, safeguards, monitoring, and human review paths.
Software Development
Application modernization
Improve existing systems through assessment, stabilization, refactoring, migration, testing, and support.
Who we help
Different industries. Real engineering challenges.
Patterns for teams improving products, workflows, and the systems around them.
Industry pattern
Software, SaaS & Technology
Product teams need dependable delivery, clearer architecture, and practical ways to integrate AI without losing trust in the system.
Industry pattern
Retail, Ecommerce & Consumer Services
Customer journeys, catalogue systems, commerce operations, and internal workflows need to work together without unnecessary friction.
Industry pattern
Professional & Business Services
Structured workflows, portals, approvals, and reporting can help service teams spend less time coordinating work manually.
Industry pattern
Logistics, Distribution & Operations
Operational software should make important work visible, dependable, and easier to improve as the organization grows.
Industry pattern
Operations-heavy businesses
Software for scheduling, intake, approvals, reporting, and workflows where reliability matters more than novelty.
Industry pattern
Software product teams
Product engineering support for teams that need delivery capacity, AI integration, modernization, or stronger technical foundations.
Start here
Start with the problem, not the technology.
Relevant service
Bring AI into an existing workflow
Have a workflow that takes too much manual effort? We can help assess where AI fits, connect it to the systems your team already uses, and engineer the surrounding software needed to make it useful.
Service fit
AI integration and workflow design
Practical next steps
- Identify which workflow is worth automating and where human review is still required.
- Map the data sources, integrations, and operational constraints that make the system reliable.
- Ship a practical AI experience with evaluation, fallbacks, and clear ownership.
Capabilities
The engineering behind better software.
Build
Learn moreProduct strategy, application engineering, integrations, and the foundations that keep a product maintainable.
Problems it addresses
- A new product needs to be built with real user needs in mind.
- A team needs engineering capacity for design, delivery, and integration work.
- A software platform needs clearer structure and better foundations for growth.
Typical engagement work
- Product discovery and planning with technical constraints in view.
- Application engineering, APIs, data flows, and integration design.
- Delivery work that keeps the product maintainable after launch.
AI approach
Use AI where it earns its place.
We help businesses identify useful applications of AI, connect them to existing software and workflows, and address the real issues around data access, reliability, evaluation, security, and operational fit.
Stage 1 of 4 / AI workflow design
1. Identify a useful workflow
We look for work that is repetitive, rules-heavy, or difficult to scale without manual effort. The goal is to solve a genuine operational bottleneck, not force AI into processes that work better with simpler deterministic software.
Systems & inputs involved
Operational backlogs, recurring intake queues, document processing workflows.
Human review & guardrails
Domain experts define accuracy boundaries, business rules, and edge cases.
Modernization
Your existing software may need improvement, not replacement.
Modernization path / Scenario 01
Tangled dependencies & brittle changes
Current bottleneck
Core modules are tightly coupled without automated tests. A change to one feature creates unexpected regressions across unrelated parts of the application.
Engineering approach
Map component dependencies, introduce characterization test coverage around critical flows, and decouple monolithic logic using the Strangler Fig pattern behind clean interfaces.
Target outcome
A modular, understandable architecture where engineers can safely extend features and upgrade frameworks without unexpected downtime.
How we work
Clear decisions. Steady progress. Maintainable results.
Stage 1 of 4 / Delivery process
Understand the problem
Clarify users, business goals, systems, constraints, and risks.
Illustrative work
Practical patterns, not invented case studies.
Examples of how careful engineering can improve workflows and software that matter.
Illustrative work
AI-assisted intake workflow
An illustrative workflow pattern for document intake, review queues, model evaluation, and human oversight.
View example
Illustrative work
Legacy operations platform modernization
An illustrative modernization pattern for stabilizing a brittle operational system before migration decisions.
View example
Build something useful. Improve something important.
Tell us what you are trying to change, and we can work out the most useful next step.