FK Technologies
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Production AI, Integration & Software Engineering

Turn AI, APIs and business systems into software that actually works in production.

FK Technologies helps SaaS companies, technology consultancies and operational businesses solve the engineering-heavy problems that sit between ideas and production.

We design and build secure integrations, AI-enabled workflows, APIs, backend services, data flows, custom applications and automation across modern and legacy systems.

Senior hands-on architecture and engineering. Clear scope. Direct communication. No unnecessary delivery layers.

01

The difficult part is rarely the demo.

AI tools, CRM platforms and automation products can make a proof of concept look easy.

Production is different.

Real businesses have
  • Legacy systems
  • Inconsistent APIs
  • Sensitive data
  • Approvals
  • Retries and failure states
  • Identity and permissions
  • Payment flows
  • Audit requirements
  • Operational dependencies
  • People who still need to stay in control

FK Technologies works in that gap.

We help move ideas from “this should be possible” to “this runs reliably in our business.”

02

Where we help

All services →

AI & Intelligent Workflow Engineering

Move beyond standalone chatbots.

We design AI-assisted and agentic workflows that can:

  • read and classify inbound email and documents
  • extract and validate structured information
  • retrieve relevant business knowledge
  • assist with operational decisions
  • trigger controlled business actions
  • route exceptions for human approval
  • update CRM, ERP, payment or internal systems
  • maintain traceability and audit history

Typical technologies: OpenAI, Claude, Azure OpenAI, RAG, structured outputs, tool calling, workflow orchestration, human-in-the-loop controls.

API & Systems Integration

Connect systems that were never designed to work together.

We build:

  • REST/API integrations
  • custom middleware
  • webhook pipelines
  • scheduled and event-driven synchronization
  • CRM integrations
  • ERP/accounting integrations
  • payment integrations
  • document and email ingestion
  • reconciliation workflows
  • retry, idempotency and failure handling

Typical platforms: HubSpot, Salesforce, Zoho, Microsoft ecosystems, accounting platforms, payment gateways and bespoke enterprise APIs.

Custom Software & Backend Engineering

When configuration is no longer enough, we build the missing software.

Capabilities include:

  • backend APIs and services
  • internal operational applications
  • customer and partner portals
  • workflow applications
  • administration tools
  • mobile applications
  • integration services
  • data-heavy business systems

Delivery stacks may include: .NET / ASP.NET Core, Node.js / NestJS, React / Next.js, Flutter, SQL Server, PostgreSQL, AWS and other fit-for-purpose technologies.

Fractional AI & Integration Architecture

Get senior architecture and engineering capability without adding a full-time senior hire.

FK Technologies can work as an embedded fractional technical partner to:

  • assess architecture
  • design integrations
  • review AI approaches
  • unblock difficult engineering work
  • prototype high-risk components
  • review implementation quality
  • advise on security and reliability
  • support technical vendor decisions
  • guide an internal or outsourced team

Available as a defined monthly capacity engagement.

03

Focused offers for problems becoming increasingly common

Agent-Ready SaaS · MCP

Make Your SaaS Agent-Ready

Let customers securely use your SaaS from ChatGPT, Claude and the emerging AI-agent ecosystem.

FK Technologies can design and build the production integration layer, including:

  • MCP servers
  • OAuth and authentication integration
  • tool and action design
  • permissions and tenant boundaries
  • read and controlled-write operations
  • validation and approval controls
  • rate limiting
  • audit logging
  • deployment and observability
  • testing across supported AI clients

MCP is the protocol. Agent-readiness is the business outcome.

AI-Built App Hardening

Take an AI-Built App from Working Prototype to Production

AI-assisted tools can get a product working remarkably quickly. The next challenge is making it secure, maintainable and dependable for real customers.

Typical review areas include authentication/authorization, tenant isolation, database design, secrets, API exposure, payments, logging, monitoring, backups, deployment, CI/CD, tests, dependency risk, performance, data protection and maintainability.

You proved the product. We help make it production-ready.

04

A strong fit when…

You are a:

SaaS company
with integration or implementation backlog
HubSpot / CRM / RevOps consultancy
that needs deeper custom engineering
Automation or AI agency
that needs a senior technical delivery partner
Fractional CTO or technology consultant
who needs trusted implementation capacity
Fintech / payments business
with complex workflows or integrations
Operational business
trying to connect AI with real systems and processes
Enterprise or specialist consultancy
that needs secure, practical AI, systems integration or custom engineering capability
05 — For agencies & consultancies

You own the client relationship. We handle the engineering-heavy part.

Many agencies are excellent at CRM, RevOps, automation, strategy, marketing or AI discovery.

The difficulty appears when a client asks the questions on the right. That is where FK Technologies can step in.

Partner promise

Your client remains your client.

We can work:

  • visibly as your specialist engineering partner
  • behind the scenes as a white-label delivery team
  • on a scoped workstream
  • on reserved monthly engineering capacity
  • jointly on larger opportunities
Discuss a Partner Engagement
  • Q1Can this connect to our ERP?
  • Q2Can you build a custom API?
  • Q3Can the AI safely take actions?
  • Q4Can you integrate payments?
  • Q5Can we synchronize this with an internal database?
  • Q6What happens when a workflow fails halfway?
  • Q7Can this work with our existing .NET or Node backend?
  • Q8Can we build a portal around this process?
  • Q9Can a manager approve this before it executes?
06

Senior engineering without unnecessary complexity

  1. Understand

    We map the business problem, systems, users, constraints and desired outcome.

  2. De-risk

    We identify integration risks, security concerns, unknowns and the smallest useful production scope.

  3. Build

    We implement with production concerns in mind: failure handling, observability, security, auditability and maintainability.

  4. Integrate

    We connect the solution to the systems and workflows where the business already operates.

  5. Transfer or Continue

    We document, hand over and support the solution — or remain involved as a fractional technical partner.

07

Flexible ways to engage

Where systems, APIs and requirements are well understood, we can quote a fixed-scope implementation. Where material technical uncertainty exists — undocumented APIs, legacy systems, unclear business rules, sensitive write operations or inherited implementations — we begin with a paid diagnostic.

A · Diagnostic

Architecture & Integration Diagnostic

For businesses that know something needs to improve but need clarity before committing to a larger build.

Typical outputs
  • workflow map
  • systems/integration map
  • architecture recommendation
  • AI opportunity assessment
  • risks and dependencies
  • phased implementation plan
Fixed-scope engagement
B · Sprint

Production Integration / AI Sprint

A focused implementation designed to put one meaningful workflow into production.

Examples
  • email/document-to-CRM automation
  • custom CRM/ERP integration
  • AI-assisted support workflow
  • payment/reconciliation workflow
  • custom API or middleware service
  • internal operational tool
Fixed-scope engagement
C · Monthly

Fractional Engineering Capacity

Reserved monthly access to senior AI/integration/software architecture and implementation capability.

Best for
  • agencies
  • SaaS teams
  • CTOs
  • consultancies
  • businesses with recurring integration work
Reserved monthly capacity
08

Built for the point where business requirements become engineering problems.

Senior hands-on experience

Work directly with an experienced engineer and architect — not through multiple account-management layers.

Enterprise and fintech perspective

Experience around payments, banking technology, enterprise systems, integrations, security-sensitive workflows and regulated environments.

Architecture + implementation

We do not stop at recommendations. We can design the solution and build the difficult parts.

Tool-independent

We use the technology that fits the problem rather than forcing every project into one automation or AI platform.

AI-accelerated, human-accountable

Modern AI tools accelerate delivery, but architecture, review, security decisions and production accountability remain human-led.

Built around accountability

The people making the architecture decisions stay close to the implementation, risks and production outcome.

09

Selected engineering experience

All case studies →
10

Clear scope. Direct accountability.

Production software projects work best when responsibilities, assumptions and risks are explicit.

For larger or regulated engagements, additional security, data-processing and vendor-onboarding documentation can be provided as required.

Trust practices

  • written scope and acceptance criteria
  • milestone-based delivery
  • NDA available
  • explicit assumptions, dependencies and exclusions
  • change control for material scope changes
  • secure access practices
  • source code and documentation handover as contracted
  • regular project communication
  • transparent issue escalation
  • contractual protection for introduced agency clients where agreed
  • data-processing terms where applicable
11

Frequently asked

Q1Do you only build AI solutions?
No. AI is one part of the engineering toolkit. Many business problems are better solved with integrations, deterministic automation, APIs or custom software. We use AI where it creates a clear advantage.
Q2Can you work with our existing development team?
Yes. FK Technologies can own a specific workstream, provide architecture and review, or work alongside internal and external teams.
Q3Can you work white-label for our agency?
Yes. White-label and delivery-partner engagements are a core offering. Commercial and client-protection terms can be agreed in writing.
Q4Can you join our customer calls as the technical lead?
Yes, where agreed. FK Technologies can participate as a named specialist partner or work under the agency’s delivery model, helping with technical discovery, architecture and difficult implementation discussions while the agency retains the primary customer relationship.
Q5Do you charge hourly?
Some retained or advisory engagements use reserved capacity, but most project work is scoped around a deliverable or outcome rather than open-ended hourly development.
Q6Can you take over an existing troubled implementation?
Potentially. We normally begin with a technical assessment before accepting responsibility for an existing implementation.
Q7Which technologies do you use?
Technology is selected around the requirement. Typical delivery includes .NET / ASP.NET Core, Node.js / NestJS, TypeScript, React / Next.js, Flutter, SQL Server, PostgreSQL, AWS, CRM APIs, payment APIs, automation platforms and modern AI APIs.
Q8Can you build with Zapier, Make, n8n or similar tools?
Yes where those tools are appropriate. We are not tied to one automation platform, and can add custom code/services when a workflow outgrows no-code boundaries.
Q9Do you provide long-term support?
Yes. Support can be included in a project or provided through a recurring fractional / reserved-capacity engagement.
Q10How do engagements normally start?
For well-defined work, we can scope a fixed implementation directly. Where APIs, legacy systems, business rules or technical risks are unclear, we normally begin with a focused paid diagnostic before committing to the full build.
12 — Start a conversation

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.