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Services

Software built around
the way your business works

We build custom web applications, internal business tools, workflow automation, AI-enabled products, and integrations. Each engagement starts with the result you need, then moves through a defined plan, working software, testing, release, and handoff.

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Custom applicationsAutomation and integrationsAI-enabled products
Services

Ways we can help

Services are ordered from understanding the opportunity through release. Each label shows the service's primary focus. Choose the stage that matches your need, or combine services for end-to-end delivery.

Start with the outcome you want and the environment you have. We review the current workflow, users, systems, data, and constraints, then assess the available options. This can include an existing application, an AI use case, a modernization question, or a vendor proposal. You get a written assessment to support the next decision.

What you get

  • Current-state assessment
  • User needs and success measures
  • Risks and constraints
  • Recommended next step

Where it fits: Understand

Clarify the need before choosing a solution or committing to a build.

Who We Help

A good fit starts with a concrete problem

You do not need to know the technology or arrive with a complete specification. The useful starting point is a workflow, system, or opportunity that matters enough to improve.

Common Client Situations

Business Owners & Executives

Replace manual work or a limiting system without building an internal software department.

Product Leaders & Founders

Turn a product decision into working software and learn before scaling the investment.

Operations Teams

Reduce re-entry, spreadsheet tracking, approval bottlenecks, and missed handoffs.

Technical Teams

Add senior delivery capacity for a bounded system, modernization effort, or difficult integration.

Problems We Solve

Manual Workflows

Move repeatable work into a controlled process with clear exceptions and ownership.

Disconnected Systems

Connect applications and data so teams stop re-entering and reconciling information.

Limited Visibility

Turn scattered operational data into dashboards, alerts, and traceable reporting.

A New Product or AI Opportunity

Test the idea, prove the core workflow, and decide what deserves a full build.

Representative Case Studies

The problem, the delivery, and the result

These summaries describe real products and team experience at a level that protects client data, proprietary rules, sensitive architecture, and operational detail. Where approval permits, evaluation can include sanitized architecture decisions, test evidence, release records, interface samples, and acceptance criteria. Products still in development are identified directly.

Active product build

Cybersecurity governance and assurance platform

Challenge

Cybersecurity assurance work can become fragmented across assessments, corrective actions, evidence, alerts, reporting, and separate agency workflows.

Delivery

A modular platform in active development with role-based workflows, evidence management and provenance, remediation tracking, alerts, executive reporting, and controlled history.

Result

The current build establishes one traceable operating model for assurance work. Production performance will be measured after deployment rather than claimed in advance.

Engineering evidence
Access model

The governed design separates broad oversight, agency responsibility, module management, and edit authority through scoped roles and queries.

Change control

Versioned reference data, guarded saves, version checks, and immutable history protect material decisions from silent overwrite.

Verification

Deterministic fixtures, impact checks, and independent review provide release evidence without exposing client data or proprietary rules.

Role-based workflowsEvidence provenanceAudit historyModular architecture
Internal business platform

Opportunity intelligence and pursuit management platform

Challenge

Federal opportunity review is repetitive, and source context is easily lost as a notice moves through qualification, gate review, proposal planning, and pursuit management.

Delivery

A full-stack platform that evaluates public opportunity notices against configurable profiles, preserves source context, supports qualification and review gates, forecasts proposal work, and creates controlled pursuit records.

Result

The system creates a traceable path from public notice to pursuit and reduces dependence on ad hoc searches, disconnected spreadsheets, and manual handoffs.

Engineering evidence
Source fidelity

The workflow preserves the original notice context alongside normalized data so reviewers can trace a decision back to its source.

Decision control

Configurable profiles, qualification gates, decision history, and proposal forecasting make the path from discovery to pursuit explicit.

Concurrency

Guarded writes reduce the risk that one reviewer silently replaces another reviewer’s work during active pursuit management.

Scheduled scanningSource preservationGate reviewsConcurrent-write protection
Team experience

U.S. Air Force Zero Trust pilot

Challenge

The pilot had to apply Zero Trust principles across information technology and operational technology while maintaining measurable alignment to the Department of Defense model.

Delivery

Team contributions included architecture, automation, custom APIs, anomaly detection, operational-technology controls, and evidence aligned to the seven DoD Zero Trust pillars.

Result

The pilot was accepted after completing all 91 target-level activities across the seven DoD Zero Trust pillars.

Engineering evidence
Scope model

Information technology and operational technology work was mapped to the seven Department of Defense Zero Trust pillars.

Engineering outputs

Architecture, automation, custom APIs, anomaly-detection integration, and control evidence supported the pilot implementation.

Acceptance record

Completion evidence covered all 91 target-level activities before the pilot was accepted.

Zero TrustOperational technologyAutomationCustom APIs
Public project note
Additional Delivery Experience

More evidence behind the operating model

Public web systems

Interactive websites and content platforms

Production web systems using responsive content architecture, custom canvas and SVG interaction, analytics and speed instrumentation, preview deployments, browser validation, and controlled DNS and SSL release work.

Responsive validationPerformance telemetryPreview deploymentsControlled cutover
WIP Studio SVD Solutions John Rector
Team experience

Federal investigative software

Software delivery and sustainment for investigative missions, including geospatial and cellular analysis, controlled versioning, secure release management, developer bug triage, vulnerability coordination, and formal user training.

Controlled releasesConfiguration managementDeveloper triageUser training
Public FBI support reference
Internal engineering system

Agentic delivery workflow

A governed delivery system combining coding agents, GitHub, structured planning, test and security gates, preview deployments, independent review, and local or cloud model execution.

Repository contextIndependent reviewSecurity gatesPreview deployments
AI-Assisted Software Development Lifecycle
Role-Based Agentsarchitect, orchestrate, produce, review, test, and assure
+
Human Engineeringowns intent, risk, integration, approval, and accountability
=
Secure, Traceable
Deliverywith evidence at each gate
SPECIALIZED AGENT ROLESHUMAN GATES AND RELEASE AUTHORITYARCHITECT01ORCHESTRATE02PRODUCE03REVIEW04TEST05QA06SECURE CODING · INDEPENDENT REVIEW · AUTOMATED TESTS · RELEASE APPROVAL

Specialized Roles

Where agents participate

Architecture analysis and ADR drafts
Orchestration and task decomposition
Bounded implementation on controlled branches
Independent code and requirements review
Test generation and regression execution
Quality assurance evidence and documentation

Human Authority

What remains accountable

Product intent and requirements
Architecture and data boundaries
Threat model and risk acceptance
Merge and exception approval
Release authorization
Operational handoff and accountability

Agents can participate across the lifecycle. They do not collapse the separation between producing, reviewing, testing, quality assurance, and authorizing a release.

Technology

A working set, not a capability wall

These are technologies and delivery patterns the team can discuss concretely. The final stack is selected for the system, its data boundary, operating model, expected lifetime, and definition of done.

01

Product & Interface

The working set for responsive web products and internal applications.

ReactNext.jsTypeScriptCSS ModulesFramer Motion
02

Application Services

APIs, background work, and integration services sized to the operating need.

Node.jsPythonExpressREST APIsBackground jobs
03

Agentic Delivery

Repository-aware coding agents working inside explicit tasks, review gates, and evidence requirements.

Claude CodeOpenAI CodexMCPRepository contextIndependent review
04

AI Product Systems

Model access and application patterns selected around the workflow, data boundary, and failure mode.

OpenAIAnthropicRetrievalEmbeddingsTool use
05

Data & Storage

Transactional, cached, document, and semantic storage chosen for how the system actually reads and writes data.

PostgreSQLRedisSQLiteVercel BlobVector search
06

Compute & Cloud

Local and hosted execution options for development, inference, deployment, and data-sensitive workloads.

NVIDIAApple SiliconVercelAWSAzure
07

Delivery Controls

The controls that make changes reviewable, testable, traceable, and releasable.

GitHubCI/CDPreview deploymentsAutomated testsRBAC & audit
A practical first step

Tell us what
needs to work better

You do not need a technical brief. Describe the current process, the bottleneck, and the outcome you want. We will help determine whether software is the right answer and what a sensible first step looks like.

Tell Us What You Needhello@wipstud.io

Usually reply within two business days