SaaS & AI Consulting

Software That Ships,
Scales, and Stays Reliable

Building SaaS is hard. Adding AI makes it harder. DCTSoft helps you get the architecture right from the start—multi-tenancy, billing, integrations, and AI features that actually work in production—so you're not rebuilding the same thing twice.

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Where SaaS Products Break Down

The shortcuts that get you to launch become the rewrites that cost you 6 months mid-growth.

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Architecture That Doesn't Scale

Single-tenant shortcuts, shared data models, and monolithic designs that work at 10 customers break at 1,000. Multi-tenancy and data isolation need to be right from the start—not bolted on later.

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Billing & Payments Complexity

Subscriptions, usage-based pricing, marketplace payouts, and Stripe Connect are solved problems—if you've done them before. Get the webhook architecture wrong and you're rewriting it mid-growth.

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Security & Data Isolation

Multi-tenant data leaks, permission gaps, and row-level security afterthoughts. In a shared-infrastructure SaaS, one misconfigured query exposes the wrong tenant's data.

Where AI Projects Break Down

The demo worked great. Production is a different story.

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Cost Surprises at Scale

That OpenAI demo was cheap. Your production workload is not. Token costs, rate limits, and per-call pricing at scale require architecture decisions made before you're stuck with them.

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Reliability Problems

LLMs are non-deterministic. Outputs vary, hallucinations happen, latency spikes. Production AI needs fallback logic, output validation, and graceful degradation—not just a prompt.

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Building the Wrong Thing

Not every workflow benefits from AI. Knowing where to invest engineering effort—and where off-the-shelf beats custom—is the difference between shipping value and spinning on complexity.

What SaaS & AI Consulting Covers

SaaS architecture, payment systems, and AI integration—built around your specific product and team, not a generic playbook.

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SaaS Architecture & Multi-Tenancy

Tenant isolation, permission systems, and data models that hold up at scale. Whether you're greenfield or refactoring a shared database, get the foundation right before it becomes a blocker.

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Billing, Payments & Marketplace

Subscriptions, usage-based pricing, Stripe Connect for marketplace payouts, and multi-party billing. Architect your payment flows and webhook systems before customer money is involved.

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Integrations & API Design

Third-party integrations, webhook systems, and API design for multi-role platforms. Built for reliability—retry logic, idempotency, and failure handling included.

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AI Opportunity Mapping

Systematic review of your product and workflows to identify where AI creates real value—and where it's a distraction. Prioritized by impact and build complexity.

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Provider & Architecture Selection

OpenAI, Anthropic, Replicate, open source, or self-hosted—each has different cost, latency, capability, and data-handling trade-offs. Get an honest recommendation for your specific workload.

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Production Reliability Engineering

Fallback strategies, output validation, error handling, and graceful degradation. AI features that fail silently—or fail loudly at the wrong moment—damage user trust fast.

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Cost Modeling & Optimization

Project token usage, API costs, and infrastructure requirements at your expected scale. Design caching, batching, and model selection strategies before cost becomes a problem.

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Data Privacy & Compliance

Data handling policies, PII exposure risk, and provider data agreements reviewed against your compliance requirements—including HIPAA, SOC2, and GDPR. This comes from having shipped and maintained compliant systems in healthcare production at scale, not policy templates.

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Knowledge Transfer

Documented architecture decisions, code walkthroughs, and pattern libraries so your team understands what was built and why. The goal is internal ownership, not ongoing reliance on outside help.

The Discovery Engagement

Most engagements start here. A focused, time-boxed discovery that gives you a clear picture of where you are, where you're going, and what it actually takes to get there.

Current State Audit

Review your product, architecture, data flows, and tech stack. Identify structural risks, scalability gaps, and where AI fits—or doesn't.

Opportunity Analysis

Map the highest-value improvements—SaaS architecture, billing systems, AI integration—against your business priorities and engineering capacity.

Actionable Roadmap

A concrete, sequenced plan your team can execute immediately—or with DCTSoft's help. No vague strategy documents. Real next steps.

What You Walk Away With

✓ Architecture review with specific risks and remediation priorities

✓ Billing and payments strategy for your business model

✓ Prioritized list of AI opportunities specific to your product

✓ Provider recommendation with cost and risk analysis

✓ Data handling and compliance checklist

✓ Implementation roadmap your team can act on immediately

SaaS & AI Built at DCTSoft

This isn't theoretical. These are live products that solved the same problems you're facing now.

ChemWhiz

High-Performance Chemistry Education Platform

Chemistry education platform built performance-first and SEO-first—100/100/100/100 PageSpeed across every route. Real search traction already growing, with active content expansion underway and AI tutoring features in development.

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CodeCrank

AI-Accelerated Development

Production SaaS MVPs delivered in 2–4 weeks using AI-assisted development combined with senior engineering review. AI acceleration without sacrificing code quality or test coverage.

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Pluto

Multi-Tenant SaaS · Stripe Connect · Field Dispatch

Multi-tenant booking and dispatch SaaS with full Stripe Connect integration for marketplace payouts. Complex multi-role permission system, real-time scheduling, and tenant data isolation from day one.