TypeformCustom AI systems · Automation · Integrations
We connect your tools, data, and AI into systems that run your workflows.
Gradia connects your apps, data, AI, and workflows into systems that remove repetitive work and keep business processes moving.
Based in Poznań, Poland. Working globally.
GradiaSystem layer
Typeform
Firecrawl
OpenAI
HubSpot
SlackOperational friction
Your business should not depend on manual workarounds.
Growing teams often lose time not because of a lack of software, but because their tools, data, and processes do not work together.
Repetitive manual work
Teams repeatedly copy, classify, format, and move information between systems.
Disconnected tools and data
Important context is fragmented across CRMs, inboxes, documents, spreadsheets, and internal platforms.
Slow handoffs
Work stalls when information must be manually passed between people, departments, or tools.
Scattered knowledge
Teams struggle to find reliable information or understand the current state of a process.
Processes that do not scale
Workflows that function with five people begin to break with twenty.
Technical processes requiring constant attention
Integrations, data pipelines, content workflows, and operational systems rely on recurring manual intervention.
What we build
Custom systems built around how your business actually works.
We combine AI, automation, integrations, and custom software to design the right solution for each process — without forcing every problem into the same tool.
AI Operational Systems
End-to-end systems that coordinate data, decisions, and actions across an entire business process.
Examples
- AI-assisted operations
- automated decision support
- process orchestration
Workflow Automation
Reliable workflows that remove repetitive work and coordinate actions across the tools your teams already use.
Examples
- approvals and handoffs
- CRM and project workflows
- notifications and data movement
Custom Integrations
Purpose-built connections between SaaS platforms, APIs, databases, CMS platforms, and internal systems.
Examples
- CRM and ERP integrations
- CMS and localization pipelines
- API and data synchronization
Internal Tools & Technical Systems
Custom interfaces, services, and engineering automation when off-the-shelf tools are not enough.
Examples
- internal dashboards and portals
- AI assistants and knowledge tools
- data, cloud, and deployment automation
Capability areas are combined into one system wherever the process requires it.
Selected systems
What this looks like in practice.
A selection of systems showing how Gradia combines AI, automation, integrations, and custom logic to solve real operational problems.
01
AI Lead Intelligence
Problem
Sales teams begin discovery calls with limited context about the prospect, company, and potential opportunity.
System
The system researches the company, analyzes the inquiry, generates a structured discovery brief, enriches the CRM, and delivers the relevant context to the sales team.
- New inquiry→
- Company research→
- AI opportunity brief→
- Sales-ready context
02
Deal-to-Delivery Orchestration
Problem
Project teams manually recreate discovery preparation, project structures, tasks, and delivery handoffs as deals move through the sales pipeline.
System
The system reacts to CRM stage changes, prepares service-specific discovery requirements, and creates the right ClickUp delivery structure once the deal is won.
- Discovery scheduled→
- Discovery preparation→
- Deal won→
- Delivery structure
03
AI Client Onboarding
Problem
Project teams begin onboarding with incomplete requirements and spend hours creating questionnaires, chasing missing answers, and turning fragmented information into a usable project brief.
System
The system reads unresolved project requirements, generates a tailored client form, delivers it, analyzes the responses, resolves satisfied checklist items, assesses readiness, and prepares a structured summary for the delivery team.
- Missing requirements→
- AI-generated client form→
- Response analysis→
- Readiness update
How we work
From operational problem to working system.
- 01
Understand
Map the process, bottlenecks, users, tools, data, and constraints.
- 02
Design
Define the system architecture, automation boundaries, AI logic, and human review points.
- 03
Build
Implement workflows, integrations, interfaces, and custom software where required.
- 04
Launch
Test the complete process with real scenarios, edge cases, validation, and error handling.
- 05
Improve
Measure how the system performs and refine it as the business, tools, and requirements evolve.
Why Gradia
Systems thinking backed by real engineering.
Business-first
We begin with the operational problem and desired outcome, not with a preferred platform.
Custom, not template-led
Every system is designed around the real process, constraints, and technology of the business.
Provider-neutral
Core process logic should not be unnecessarily tied to a single automation, AI, or SaaS provider.
Beyond no-code
We use automation platforms where they are effective and build custom APIs, backends, interfaces, or infrastructure where they are not.
End-to-end ownership
Architecture, implementation, integrations, validation, launch, and iteration are treated as one connected system.
Technology
Built for your existing stack.
We work with the tools your business already uses and build custom components when off-the-shelf platforms are not enough.
Start a conversation
Have a process that feels harder than it should?
Tell us where work slows down, information gets lost, or your tools stop working together. We will help you determine what kind of system could solve it.
Or start with a process, integration, or technical problem you would like us to assess.