AI, integration and software engineering for production systems.
Senior production AI, API integration, CRM/ERP integration, backend engineering, custom software and fractional architecture.
Production AI & Agentic Workflows
AI should not live in isolation from the business.
We design AI-enabled workflows that can safely interact with documents, email, knowledge, CRM, internal systems and controlled business actions.
We can help with
- document understanding
- email triage
- knowledge retrieval and grounded responses
- structured extraction
- operational copilots
- controlled agent workflows
- human approval gates
- tool calling
- customer enquiry workflows
- AI-assisted sales and service operations
- AI evaluation and quality controls
- private / controlled deployment patterns where required
Engineering principles
- deterministic logic where deterministic logic is better
- AI only where AI adds value
- validation before actions
- clear human escalation
- auditability
- measurable quality
- explicit failure paths
API & Integration Engineering
Typical work
- CRM integrations
- ERP integrations
- accounting integrations
- payment gateways
- identity and authentication
- webhooks
- custom middleware
- data synchronization
- ETL-style operational data flows
- third-party API integration
- custom connectors
- workflow orchestration
Platforms
Examples may include:
- HubSpot
- Salesforce
- Zoho
- Microsoft platforms
- QuickBooks / Xero style accounting platforms
- payment service providers
- bespoke enterprise systems
- internal databases and services
Custom Software Engineering
We build software when existing SaaS tools cannot cleanly solve the problem.
Backend
- .NET / ASP.NET Core
- Node.js / NestJS
- REST APIs
- background processing
- event-driven workflows
- SQL Server
- PostgreSQL
- caching and queues where required
Web
- React
- Next.js
- modern TypeScript frontends
Mobile
- Flutter
Enterprise / low-code
- OutSystems where it is the right fit
Cloud / deployment
- AWS
- modern deployment pipelines
- containerised workloads where appropriate
- Windows/IIS and enterprise deployment environments
Agent-Ready SaaS / MCP Engineering
Customers increasingly expect software products to work with AI assistants and agents, not only through traditional user interfaces.
A demo tool call is not the same as a production agent integration.
Production design must consider identity, authorization, tenant boundaries, action safety, retries, duplicate prevention, auditability and operational failure modes.
Typical work
- MCP server design and implementation
- OAuth / authentication integration
- mapping SaaS APIs into useful agent tools
- tenant and permission enforcement
- safe read and controlled-write actions
- human approval for sensitive operations
- idempotency and duplicate-action protection
- rate limiting
- audit logging and observability
- deployment
- ChatGPT / Claude integration testing
- rollout documentation
AI-Built App Production Hardening
AI-assisted development can compress months of prototyping into days or weeks. FK Technologies helps with the engineering work required when that prototype begins serving real customers.
Production Readiness Audit
Review architecture, authentication, authorization, tenant isolation, database security, secrets, API exposure, validation, payments, logging, monitoring, backups, deployment, CI/CD, tests, dependency risk, performance, data protection and maintainability.
Findings prioritised Critical / High / Medium / Low and Fix Now / Fix Before Scale / Acceptable for Current Stage.
Production Hardening Sprint
Remediate the agreed high-priority findings without unnecessarily rewriting a product that already works.
Migration / Rescue
Where the architecture genuinely cannot support production requirements, scope a selective refactor or migration rather than defaulting to a complete rewrite.
Fractional AI & Integration Architect
A fractional engagement gives your company regular access to senior technical capability without requiring a full-time hire.
Who it suits
- SaaS founders
- CTOs with overloaded teams
- agencies expanding into technical services
- consultancies that need deeper implementation support
- companies beginning AI adoption without a senior AI engineering leader
Typical responsibilities
- architecture review
- integration strategy
- AI solution design
- technical discovery
- build-vs-buy analysis
- vendor/API evaluation
- security and reliability review
- solution prototyping
- developer guidance
- code/design review
- production troubleshooting
- delivery oversight
Technology is a means, not the product.
Backend & APIs
- .NET / ASP.NET Core
- Node.js / NestJS
- REST APIs
- Background services
- Webhooks
- Queues / scheduled processing
Web & Mobile
- React
- Next.js
- TypeScript
- Flutter
Data
- SQL Server
- PostgreSQL
- Relational data modelling
- Integration data flows
Cloud & Deployment
- AWS
- Docker where appropriate
- IIS / Windows enterprise deployments
- CI/CD patterns
CRM / Business Platforms
- HubSpot
- Salesforce
- Zoho
- OutSystems
- ERP/accounting and third-party APIs
AI / Automation
- OpenAI
- Anthropic / Claude
- Azure OpenAI
- RAG / knowledge retrieval
- structured outputs
- tool calling
- human-in-the-loop workflows
- n8n / Make / Zapier where appropriate
This list represents delivery capability, not an assertion that FK Technologies is an accredited partner or certified specialist for every named platform.
Have a workflow, integration or AI idea that gets complicated once it touches real systems?
Tell us what you are trying to achieve. We will help determine whether it needs configuration, custom integration, AI, software engineering — or a combination of them.