How much does AI implementation cost?

AI implementation projects at Code and Trust are fixed-price, typically ranging from $25K to $150K depending on scope and integration complexity. All projects include a pre-build workflow audit so you know exactly what you're getting before we start.

What does a fixed-price engagement include?

Every fixed-price engagement includes a workflow audit, a written scope document, the build, testing, deployment, and 90 days of post-launch support. No change orders for scope creep that results from our own estimation errors.

How long does a custom software project take?

Most projects move through Product Design, MVP Development, and Continued Partnership phases. An MVP typically takes 8–16 weeks from kickoff. Code and Trust delivers a working prototype early so clients can validate before full build-out.

What industries does Code and Trust work with?

Code and Trust works across healthcare, fintech, manufacturing, logistics, and SaaS. Our team has 40+ years of tech entrepreneurial experience across multiple industries.

VeloCT is Code and Trust's AI-accelerated sprint offering. Same team, same standards, radically compressed timeline. We scope a specific problem and apply AI where it moves the needle — delivering answers in two weeks instead of six months.

How is Code and Trust different from a typical software agency?

Code and Trust is a fully in-house, onshore team built by tech entrepreneurs — people who have founded and operated software businesses. We care about your product, your customers, and your runway, not just sprint velocity.

Where is Code and Trust located?

Code and Trust operates from Mt Pleasant, SC and Washington, DC, serving clients across the US.

Services

Software Development & AI Services

Q: What services does Code and Trust offer?

Code and Trust offers four core services: AI implementation (turning manual workflows into AI-powered systems), AI workflow automation (custom n8n/Python pipelines), legacy system modernization (replacing outdated software), and custom software development (full-stack apps and APIs).

Q: Do you work with companies that have no existing AI systems?

Yes — the majority of our clients start with zero AI in place. The workflow audit identifies which manual processes are the highest-ROI automation targets, and we build from there.

Q: Can you modernize a legacy system without downtime?

Yes. Code and Trust uses a parallel-run migration strategy: the new system runs alongside the old one, data is validated in real-time, and the cutover happens only when both systems agree. Zero-downtime migrations are our default approach.

Fixed-price engagements. Measurable ROI in 90 days. Four service lines built around the operations challenges enterprise teams and founders actually face.

What services does Code and Trust offer?

Code and Trust offers four core service lines: AI implementation (replacing manual workflows with AI-powered systems), AI workflow automation (custom pipelines that eliminate data entry), legacy system modernization (zero-downtime migrations to modern code), and custom software development (full-stack apps built to spec). Every engagement is fixed-price with 90-day post-launch support.

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AI Implementation

30–60% cost reduction in 90 days

We map your manual workflows, identify where AI creates the highest leverage, and implement the systems — LLM pipelines, RAG systems, AI decision routing — directly into your operations. You see ROI within 90 days or we keep working.

→Pre-build workflow audit included on every engagement
→LLM pipeline integration (OpenAI, Anthropic, Gemini)
→RAG systems over your proprietary data
→AI decision routing into existing tools and databases
→Working prototype delivered at week 4

Start with an AI Audit →

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AI Workflow Automation

Eliminate manual data entry and cross-system copying

We build custom automation pipelines using n8n, Zapier, Python, and AI — connecting your tools, automating repetitive tasks, and eliminating the hours your team spends copying data between systems. Average 15–20 hours saved per employee per week.

→n8n and Zapier workflow design and build
→Python automation scripts and scheduled jobs
→API integrations between any combination of tools
→AI-augmented workflows (classification, extraction, summarization)
→Monitoring and alerting on automation health

Discuss Your Workflows →

🏗️

Legacy System Modernization

Zero-downtime migration from outdated to maintainable

We replace outdated software with modern, maintainable code — without stopping your operations. Our parallel-run migration approach means both systems run simultaneously until the new one is validated, then we cut over. No surprises, no downtime.

→Parallel-run migration (old and new system run simultaneously)
→Full data migration with integrity verification
→Modern stack: Next.js, Python, PostgreSQL, TypeScript
→Documentation and internal handoff training
→Post-launch support for 90 days minimum

Assess Your System →

💻

Custom Software Development

Full-stack apps, APIs, and integrations — built to spec

From MVP to enterprise-grade production systems, we build full-stack web applications, REST and GraphQL APIs, and third-party integrations. Fixed-price with a written scope before we start — no moving targets, no hourly billing surprises.

→Next.js, React, TypeScript front-end applications
→Node.js, Python, and PostgreSQL back-end systems
→REST and GraphQL API design and development
→Third-party integrations (Stripe, Salesforce, HubSpot, etc.)
→Scalable architecture designed for your growth trajectory

Scope Your Project →

Services FAQ

Common questions about Code and Trust services center on pricing, timeline, and what 'fixed-price' actually means. Every engagement starts with a written scope document so there are no billing surprises — and no change orders for scope creep caused by our own estimation errors.

How much does an AI implementation or custom software project cost?

Projects are fixed-price, typically $25K–$150K depending on scope and complexity. We scope and price from the workflow audit — you get a written proposal with exact deliverables before we start. No hourly billing, no change orders for our estimation errors.

Do you work with companies that have no existing AI systems?

Yes — most of our clients start with zero AI in place. The workflow audit identifies the highest-ROI automation targets first. We don't recommend implementing AI where it doesn't clearly improve your numbers.

Can you modernize a legacy system without downtime?

Yes. We run the new system alongside the old one, validate data in real-time, and cut over only when both systems agree. Zero-downtime migration is our default approach — we haven't had an unplanned outage on a migration in 6 years.

How long does a typical engagement take?

AI implementations and workflow automation projects run 8–12 weeks. Legacy modernization varies by system complexity — 12–24 weeks is common. Custom software from zero to production is typically 8–16 weeks for an MVP. We deliver working prototypes at week 4 on all build engagements.

What's included in post-launch support?

All projects include 90 days of post-launch support: bug fixes, performance tuning, workflow adjustments as your team adapts, and minor feature additions that fall within the original scope. Extended retainers are available for ongoing iteration.

Not sure which service fits?

Start with an AI audit. We'll map your operations and tell you exactly which service line — or combination — creates the most leverage for your situation.

Schedule AI Audit →Start the Conversation