Document operations
From invoice to checked ERP record.
Reduce repeated entry while finance retains approval of what is posted.
Level 3 — Act with approval.
Finance compares the extraction with the invoice, resolves exceptions and approves posting.
Operational AI systems
Operational AI.
Under control.
For teams managing documents, requests and work across business systems. Novaria designs, integrates and operates AI workflows that reduce manual work, with defined access, validation and human oversight.
Lisbon, Portugal
Operation first
AI should fit the operation.
Repeated data entry, disconnected tools and slow handoffs cost your team time. Adding AI without understanding the work can add uncertainty. We map the people, systems, data and decisions first, then choose where software, automation or AI helps.
PeopleSystemsDataDecisionsHandoffsRisk
Not every workflow needs AI. We tell you when it doesn't.
Inside your existing business
Keep the systems that work. Connect the work between them.
Your CRM, ERP, email and internal tools remain the starting point. We add a workflow with explicit boundaries around what AI reads, prepares and changes. No unnecessary rebuild.
Existing business systems
CRMERPEmailDocumentsDatabasesInternal tools
One request, through defined controls
Access boundary
Identity · permissions · approved data
AI / automation
Read · extract · classify · draft
Validation
Schemas · business rules · output checks
Human control
Approve · reject · escalate
Controlled action
Create · update · send · synchronise
Audit & monitoring
Request · model · approval · result
A proposed action is not permission to act.
Failed checks and missing approvals stop execution. Exceptions go to a named person; the model cannot grant itself more access.
Illustrative architecture. The data, approval requirements and permitted actions are agreed for each workflow.
The Novaria Authority Model
What AI can do. What it may do.
Technical capability does not confer authority. Each workflow receives the minimum authority required for the task, enforced by the software around the model.
Level 1
Read
Find and explain information from approved sources, within the user's access rights. No changes to business systems.
Level 2
Recommend
Prepare a proposal with the context needed to check it. Your team decides what to use.
Level 3
Act with approval
A permitted action reaches your systems only after validation and explicit approval from the responsible person.
Level 4
Automate
Execute predefined actions without individual approval only where the task is bounded, tested and sufficiently low-risk. Exceptions require review, with monitoring and stop controls in place.
More autonomy is not automatically better. These are operating choices, not a ladder to climb.
Workflow examples
What AI actually does.
Start with a concrete task. Define what the system can prepare, who checks it and what happens next.
Communication operations
From enquiry to approved reply.
Reduce searching and drafting while your team controls customer commitments.
Level 3 — Act with approval.
An authorised colleague reviews, edits or rejects the draft before sending.
Knowledge operations
Find the procedure. Keep its source.
Help employees find approved guidance without widening their access.
Level 1 — Read.
The employee checks the cited procedure; gaps go to the document owner.
Illustrative implementation examples, not client case studies or measured results. Systems, authority and acceptance criteria are agreed for each engagement.
Implementation
From the first map to daily operation.
One team designs, integrates, deploys and operates the workflow. Each stage has evidence to review before the next commitment.
- 01
Map
Map people, systems, data, decisions, handoffs and repetitive work. Identify risk, a useful starting point and whether AI is appropriate.
- 02
Design
Define the target workflow, access boundaries, authority, human checkpoints and failure states. Agree security requirements and success measures.
- 03
Build
Implement integrations, AI components and interfaces with permissions, validation and event logging. Keep predictable steps rule-based.
- 04
Pilot
Test real tasks, edge cases and failure conditions with the team. Check precision, security and approval logic against agreed acceptance thresholds.
- 05
Operate
Deploy in a controlled scope. Monitor quality, usage, errors, exceptions, latency and cost. Agree support, recovery and operational ownership.
- 06
Improve
Use production evidence to refine models, prompts, validation and workflow logic. Test changes before release; reassess authority before expanding it.
Security, control and precision
Secure. Controlled. Evaluated.
Your operation should not depend on a model behaving perfectly. Access restrictions, human decisions and result checks address different risks.
- 01
Security
Can it access something it should not? Scoped identities, least privilege and data boundaries restrict access to the task.
- 02
Control
Who authorises the action? Defined authority, approval gates and stop controls keep sensitive decisions with people.
- 03
Precision
Is the result fit for this task? Structured outputs, rule checks and evaluations test it against agreed acceptance thresholds.
Direct delivery
Two founders. No layers.
Every engagement is led directly by the founders responsible for defining and delivering the work. You know who owns the operational decisions and the engineering.
Start with your operation.
Show us the workflow, system or bottleneck you want to improve. We'll help determine whether AI, automation or conventional software is appropriate.