Turn a defined use case into a working system.
Once the opportunity is clear, the next challenge is turning it into something that works inside the real business. Autorea defines the workflow, agrees the success criteria, builds the AI or automation system, connects it to the required tools and data, tests it, brings it into production and supports it through an initial stabilization period.
The goal is not a demo. The goal is a system that performs the agreed job inside the real workflow.
Turn a defined use case into a working system.
Before we build, we agree in writing what "done" means — then we build, test and hand over against exactly those criteria.
- Delivered by specialists from our network: Delivery / Solution Lead, Solution Architect, Automation / Integration Engineer, AI / LLM Engineer and QA / Tester
- A working system, live in your infrastructure
- Tested integrations to your systems (CRM, ERP, APIs, ...)
- Full documentation + training for your team
- Four weeks of stabilization after go-live
- No guaranteed ROI — depends on usage and volume
- No unlimited scope — changes go through change control
- No full security red-teaming (that's Secure/Hardening)
If the system doesn't meet the acceptance criteria agreed in advance, we keep working at no extra cost until it does. After every paid milestone you can walk away — everything already paid for is yours.
You can enter Build in two ways.
If the use case came from Analyze
The existing business case and process work become the starting point for Build. The opportunity is already prioritized, documented, and ready to define.
If you already know what you want
A full company-wide Analyze engagement is not required. Autorea performs a focused Define / Discovery step that makes the chosen project buildable.
- Workflow, users, inputs/outputs
- Data, systems, integrations
- Human decisions, exceptions
- Scope, requirements, acceptance criteria
Define is not a full AI opportunity analysis. It exists to make the chosen project buildable.
AI that works inside a process.
AI Assistants
Internal or customer-facing assistants that understand context and follow defined workflows.
Knowledge Systems
RAG / knowledge assistants using approved company information with traceable sources.
Document Workflows
Extract, classify, summarize, generate or route information from structured and unstructured documents.
Agent Workflows
AI using tools or performing defined multi-step actions within governed boundaries.
Business Automation
AI combined with deterministic automation for predictable, auditable processes.
Customer Service
AI-supported or partially automated workflows with defined human handoff points.
Back-Office Workflows
Repetitive operational processes made faster and more consistent.
System Integration
CRM, ERP, email, ticketing, databases, APIs, knowledge systems and internal applications.
Before we build, we define what "done" means.
Current Process
- Trigger — what starts the workflow
- Inputs — what information enters the process
- Workflow — the current sequence of steps
- People — who is involved and how
- Systems — which tools are already in use
- Bottlenecks — where the process slows or breaks
- Exceptions — what happens outside the normal path
- Outputs — what the process produces
Target Process
- What AI does — the automated portion
- What remains deterministic — rules and logic
- What remains human — decisions and oversight
- Desired result — what success looks like
- Required systems — what must be connected
Scope
Define what is and is not included. Every Build engagement has an explicit boundary — what the system will do, what it won't do, and where the line sits between in-scope delivery and separate work.
Acceptance Criteria
Project-specific criteria used to determine whether the agreed job has been completed.
- Required workflow completes
- Defined information is processed correctly
- Integrations exchange required data
- Human approval occurs where required
- Agreed test cases pass
- Documentation is delivered
Change control
What you have when Build is complete.
Working System
A functioning system for the agreed workflow, deployed and operational.
Integrations
Connections to the systems included in scope — CRM, ERP, email, databases, APIs.
Tested Acceptance Criteria
Documented verification that the system meets the criteria agreed before development.
Production Setup
Deployment and configuration in the relevant environment, ready for real use.
Documentation
Architecture, workflow, integrations and operating basics — enough to run the system without us.
Training / Handover
Relevant users and administrators shown how the system works and how to operate it.
Stabilization
An agreed post-launch period for implementation defects, fine-tuning and real-use adjustments.
From defined workflow to production.
See the workflow working before the project is finished.
Autorea's internal Build model targets an early functioning end-to-end slice for suitable projects — a core path that validates architecture, workflow assumptions and integration feasibility early.
This early slice demonstrates that the core path works end to end. It is not production-ready, not polished, and not the full system — but it proves the architecture is sound before the remaining scope is built.
A useful AI system has to work where the business already works.
Standard Case → Normal Flow
The system processes the input through the defined workflow and produces the expected result.
Exception → Human / Alternative Process
- Missing data
- Conflicting information
- Integration failure
- Unusual request
- Low-confidence result
- High-impact decision
Completion should be testable.
Function
Does the system perform the agreed operations correctly?
Integration
Do connected systems exchange the required data reliably?
Workflow
Does the end-to-end process complete as defined?
Exceptions
Are edge cases and failure modes handled as agreed?
Access
Do permissions and identity controls work as specified?
Acceptance Criteria
Does the system meet the criteria defined before development?
Go-live is not the handover.
Real usage may reveal edge cases, user behavior patterns, integration assumptions, data irregularities and workflow friction that no test environment can fully replicate.
Stabilization may cover
- Implementation defect correction
- Agreed fine-tuning
- Workflow adjustments
- Integration corrections
- Usability feedback
- Small configuration changes
Clearly distinguished
Stabilization is not new functionality or scope expansion. Changes outside the agreed scope require a separate decision and are not covered by the stabilization period.
What we need from you.
Client provides
- Process KnowledgeUnderstanding of the current workflow, its purpose and its context
- Decision MakerSomeone who can approve scope, criteria and acceptance
- System AccessAccess to the systems that need to be integrated
- Feedback / ApprovalTimely review of milestones and acceptance decisions
Autorea handles
- ArchitectureSystem design, component selection, integration patterns
- DevelopmentImplementation, configuration, deployment
- IntegrationConnecting to agreed systems and data sources
- TestingVerification against acceptance criteria
- DocumentationArchitecture, workflow, integrations, operating basics
- DeliveryProduction setup, handover, knowledge transfer
Built to become yours.
Client Environment
The system runs in your infrastructure, under your accounts — not on an Autorea platform.
Admin Access
You hold the keys. Full administrative access to the delivered system from the point of handover.
Documentation
Architecture decisions, configuration, integrations and operating procedures — written to be used by your team, not just ours.
Training
Relevant users and administrators trained on how the system works and how to operate it day to day.
Structured Handover
A defined offboarding step: access transfer, documentation handover, and a closure report. Exit is designed, not discovered.
What we commit to.
Agree success before building
Acceptance criteria are established before main implementation begins. Both sides know what "done" means before the first line of code.
Test against the agreement
The completed system is tested against those criteria — not against an abstract notion of quality, but against the specific, documented definition of success.
Correct implementation gaps within agreed scope
Acceptance criteria are agreed before development begins. We test the completed system against those criteria and resolve implementation gaps within the agreed scope.
Milestone transparency
Projects are structured in visible milestones. You see progress as it happens, not in a single reveal at the end. Each milestone produces something demonstrable.
After go-live, there are several valid next steps.
Operate Internally
Client takes over using documentation and handover. The system runs under your management with the knowledge and access you need.
Secure
Build includes responsible engineering hygiene, but a dedicated security assessment, findings, hardening and retesting belong to the Secure phase — available when you need it.
Operate & Improve
Ongoing monitoring, support, optimization and improvements. Monitor behaviour, learn from real usage, improve and verify — continuously.
Both
Build → Secure → Operate & Improve. A complete path from working system to hardened, monitored, continuously improving operation. Never mandatory — always your choice.
What Build does not promise.
Not Guaranteed ROI
Actual financial results depend on adoption, volume, operating conditions and use — factors outside any single engagement's control.
Not Error-Free AI
No promise of zero hallucinations or zero failures. AI systems have inherent limitations that responsible engineering acknowledges.
Not Unlimited Scope
New features outside the agreed scope require a separate decision. Change control exists for a reason.
Not Full Security Red Teaming
Dedicated adversarial testing belongs to the Secure phase unless explicitly scoped into Build.
Not Indefinite Support
Long-term support and continuous optimization belong to Operate & Improve, not to the Build stabilization period.
Not Employee Replacement
Autorea builds systems that support people — not systems marketed as headcount reduction. We don't promise "this replaces X employees."
Questions you're likely asking.
Do we need Analyze before Build?
What if we know the problem but not the exact solution?
Can you integrate with existing systems?
How do we know when the project is finished?
What if scope changes?
Will we depend on Autorea?
What happens after launch?
Is security included?
Can we stop after Build?
Tell us what you're working on. We'll tell you whether Define is enough — or whether Analyze would save you time.
Send an Inquiry