Specteron
Specteron
Custom AI Development

We turn your business into
an AI-powered system.

We scope, design, and build custom AI solutions for businesses and startups, from customer-facing chatbots to internal copilots, workflow automation, document intelligence, and systems integrated with your data, tools, and business processes.

Custom AI system connected to business tools, workflows, and company data

2-5 weeks to pilot

From discovery to a working first implementation without dragging the project through months of planning.

Built for real operations

Designed for support, sales, knowledge, document workflows, and other business-critical processes.

Production-ready delivery

With approvals, monitoring, auditability, access controls, and practical rollout planning from day one.

Simple to advanced scope

From a focused chatbot or automation to larger AI systems integrated with your existing tools and data.

How custom AI works

Connected to the way your business actually runs

We connect AI to your real business context, apply the right logic and controls, and trigger actions where they create practical value.

Business context Your knowledge, systems, and live data Connect internal documentation, support history, APIs, CRM records, forms, and other sources the workflow depends on.
Orchestration AI logic with the right guardrails Apply routing, approvals, fallback paths, and confidence-based controls so the system behaves reliably in production.
Action Outputs, updates, and handoffs Trigger business actions, update tools, create responses, route requests, or pass the case to a human when needed.
LLM Evaluation
Event logging

What we build

Custom AI solutions for real business workflows

Support automation

We build AI systems that triage conversations, suggest replies, route requests, summarize context, and support human teams with grounded answers.

  • faster first-response times
  • cleaner human handoffs
  • better context across channels

Workflow automation

We automate repetitive business processes across CRM, ticketing, email, Slack, internal tools, and custom APIs using AI where it creates real value.

  • manual steps removed
  • governed decision logic
  • connected business actions

Document intelligence

Extract, classify, validate, and route information from contracts, forms, attachments, onboarding files, and operational documents.

  • shorter review cycles
  • structured data extraction
  • consistent validation rules

Sales and growth flows

Build AI assistants for lead qualification, follow-up support, internal sales workflows, proposal preparation, and GTM acceleration.

  • higher team throughput
  • better lead routing
  • smarter follow-up workflows

Governed AI systems

Add approval layers, model controls, prompt rules, fallback logic, permissions, and audit trails where business risk requires a more reliable setup.

  • production guardrails
  • clear auditability
  • controlled escalation paths

Delivery model

From discovery to launch

01

Discovery and workflow mapping

We map your current process, systems, bottlenecks, and business goals to define what should be automated and what should stay human-controlled.

  • process walk-through and scope definition
  • risk review for edge cases and dependencies
02

Prototype on real business context

We validate the first working version against your real data, tools, and operational constraints instead of building a disconnected demo.

  • prototype connected to relevant sources
  • handoff, confidence, and fallback rules
03

Build, integrate, and launch

We harden the solution for production with the right integrations, permissions, monitoring, and delivery flow for your team.

  • access model and action safeguards
  • structured monitoring and rollout readiness
04

Improve and expand

After launch, we optimize retrieval, prompts, routing logic, and extend the system into adjacent workflows where it can create more value.

  • tuning based on real outcomes
  • roadmap for broader automation gains

Engagement types

Choose the right starting point

AI Sprint

Best when you already know the bottleneck and need a fast, focused project to validate what AI can improve in a measurable way.

  • narrow and practical scope
  • clear go / no-go decision
  • fast implementation path
  • lower-risk first investment

Longer-term delivery partner

For companies and startups that need deeper architecture work, more integrations, stronger governance, and expansion beyond a single use case.

  • multi-workflow implementation
  • deeper system integrations
  • enterprise-ready delivery approach
  • ongoing technical support

FAQ

Questions businesses ask before starting

Custom AI makes sense when your workflow depends on internal data, multiple systems, approvals, downstream actions, or business rules that generic tools cannot handle cleanly.
No. We can build on top of Specteron where it speeds up delivery, but we also create standalone solutions and custom integrations with your existing systems, APIs, and internal tools.
A strong first project solves a real bottleneck, is important enough to matter, and can be measured clearly. Common examples include support automation, internal AI assistants, document processing, and CRM-linked workflows.
Yes. Some projects are lightweight and focused, like a website assistant or workflow automation. Others involve broader architecture, custom backend logic, integrations, approvals, and production controls.
Smaller scoped projects can often move from discovery to pilot in a few weeks. More advanced implementations depend on integrations, governance requirements, and rollout complexity.
Cost depends on scope, integrations, complexity, and delivery requirements. We typically define a realistic first phase and then expand based on measurable business value.

Bring us the workflow that needs fixing.

Tell us what your team does today, which systems are involved, where the delays happen, and what result you want. We will come back with a realistic scope and a practical delivery path.

Most projects start from EUR 2,000 net, depending on scope and complexity.