“We know exactly what we need.”A defined use case
You know who will use the system, what it should do and which workflow it belongs to. YPAI turns the requirement into a scoped architecture, evaluation plan and production path.
AI Implementation
The model is one component. YPAI builds the working system around it.
Assistants, knowledge systems, document workflows, agents and custom integrations, designed and built inside your workflows, data boundaries and existing technology, and proven against real work before production.
Norwegian legal entity · EEA-based processing available where required · Project-specific deployment and DPA terms
Why AI projects stop before production
A demonstration proves possibility. Production asks three questions.
- The source boundary
Was the source boundary ever defined?
An answer from outside the approved sources is a control failure before it is a model failure. The system needs a map of what it may use and what it may never reach, and that boundary has to be enforced, not assumed.
- Permissions and integrations
Does it respect permissions and the systems around it?
Every integration is an operating assumption. What the system may read, propose, execute or never do has to be designed into the workflow, with a person holding the consequential step.
- Proof against the work
Was anything proven against the work?
A benchmark score is not acceptance. Task completion, source use, permissions, handoffs and failure behaviour are tested on the actual work before production use expands.
Begin with the work, not the technology. YPAI selects the least complex architecture that can complete the work reliably.
What you can commission
What YPAI builds
Six implementation forms, one discipline. Each system is designed around the work it must complete, with its knowledge, integrations, permissions, human decisions and evaluation, not around a technology choice made in advance.
01
AI Assistants & Chatbots
Customer-facing conversation, service and voice
02
Enterprise Knowledge Assistants
Internal answers with citations and permissions
03
Document AI & Workflow Automation
Document-triggered work, validated and routed
04
05
Custom Models & Integrations
The right model, fitted to your stack
06
Private & Enterprise Deployment
Run inside your boundaries
Customer Can I move my delivery to Thursday and get a callback?
sources · 2
Assistant Thursday is available for your order. I have booked the callback for 14:00. Delivery policyOrder 3120
Booking confirmed with a personhanded to a person
Employee What is the approval limit for supplier contracts in my unit?
[1] Procurement policy v7 ok
[2] Unit delegation list ok
[3] Board minutes no access
Contracts up to the delegated limit are approved by the unit lead.[1][2]
Supplier Nordvik AS
Amount 48 200,00
Due 30 days
IBAN review
posted → ERP · 1 field to review
- read the ticket
- query CRM for the account
- draft the reply
- awaiting approval A person approves before anything leaves.
- send and close
Illustrations of systems YPAI builds. No customer, record or result is real.
Where you are
Four ways an engagement begins.
Start from the point your organisation is actually at.
“The prototype works, until it meets real work.”A failing prototype
The demonstration convinces, then fails on knowledge, integration, permissions, edge cases or cost. YPAI identifies the failure classes, rebuilds the relevant parts and defines what the next version must prove.
“The process is manual, and it should not be.”A manual workflow
A repetitive workflow runs on people, documents and several systems. YPAI maps the work, separates deterministic steps from model judgment and defines where people retain authority.
“We see several opportunities. Where do we start?”A broader implementation question
Several candidate systems, no selected first build. A bounded discovery engagement produces a buildable system design, evaluation plan and implementation decision, not a strategy presentation.
By sector
Where it applies
The same discipline, inside your sector's workflows. Each industry page maps concrete operations to the systems and data behind them.
- Financial services Claims intake · fields extracted, validated · 1 exception to adjuster
- Automotive In-cabin request · intent resolved · handed to the vehicle
- Healthcare Referral letter · classified, summarised · clinician confirms
- Education Student enquiry · answered from policy · advisor escalation
Illustrative records. No customer or case is real.
Find your workflow by industryHow an implementation is run
Built to be operated, not demonstrated.
-
Architecture before build
The workflow, approved sources, integrations, permission boundary and human decisions are settled as one system design before the build starts. The discovery and architecture engagement carries this work in full.
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People keep authority
Human approval points, tool allowlists, blocked operations and escalation rules are designed into the workflow, not added after a failure. The system stops where organisational authority or consequence requires a person.
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Acceptance is measured
The system is tested against the actual work: task completion, source use, permissions, handoffs and failure behaviour, with thresholds agreed in the SOW. A convincing demo proves possibility; the release decision follows measured behaviour.
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Production is operated
Staged release, monitoring, regression evaluation and managed improvement continue after handover, in YPAI-managed, customer-controlled or hybrid environments.
A first engagement can run as a bounded pilot with agreed scope, evidence and a separate production decision.
How pilots workWhere it runs
Inside your boundary.
- Customer-controlled cloud
- Private environment
- EEA-based processing where required
Deployment patterns for approved AI workloads inside defined data, identity and network boundaries, with processing roles, retention and DPA terms agreed for the engagement.
AI Data & Evaluation
When the system exposes a data gap
Implementation can reveal what the prototype hid: missing language coverage, domain terminology, document classes, edge cases or evaluation data. YPAI's independent AI Data & Evaluation service line sources, annotates and reviews that material and returns the accepted improvement to the system. Two service lines, purchasable separately, without a gap between two suppliers.
Start with the work
Bring the workflow, not a list of AI features.
Tell us what someone should be able to accomplish, how the work happens today, which knowledge and systems are involved and where people need to retain authority.
YPAI will determine whether the right first step is an assistant, knowledge system, document workflow, agent, deterministic automation or a bounded discovery engagement.
What YPAI returns after a qualified brief
- 01 initial fit and feasibility assessment
- 02 recommended implementation path
- 03 proposed first-release boundary
- 04 system and integration architecture
- 05 permissions and human-control approach
- 06 evaluation and acceptance proposal
- 07 pilot or first-release structure and commercial basis
Handlers re-key policy numbers and damage fields from emailed PDFs into the claims system, then decide which claims go to an adjuster.
What YPAI reads
- accomplish claims entered and routed without re-keying
- today manual reading of emailed PDFs
- knowledge and systems policy register, claims system
- authority an adjuster decides escalations
Employees ask policy and product questions that are answered from three wikis and old tickets, and the answer depends on who is asking.
What YPAI reads
- accomplish answers with citations, inside permissions
- today searching three wikis by hand
- knowledge and systems wikis, ticket history, access groups
- authority the source of record stays authoritative
Several teams see candidates across intake, reporting and scheduling, and no first build has been selected.
What YPAI reads
- accomplish one selected, buildable first system
- today parallel ideas, no owner
- knowledge and systems to be mapped
- authority to be defined
The first step
Illustrative briefs. No customer or workflow is real. Describe your workflow below
Implementation brief
Send an implementation brief.
Describe the workflow, the users, the systems involved and where people need to retain authority. YPAI reviews the brief before proposing a next step.
Norwegian legal entity. EEA-based processing available where required and agreed. Project-specific deployment and DPA terms.
FAQ
Questions buyers ask
Do we need an AI agent?
Not necessarily.A focused assistant or deterministic workflow may be more appropriate when the task is bounded and the process is predictable.
Agents are useful when the path varies, several systems are involved or the system needs to select and sequence tools.
Are we locked to one model or provider?
No.The model and implementation stack are selected against the workflow, integrations, customer environment, performance, security, language and commercial requirements.
Can we start with a limited first release?
Yes.A first release may cover one workflow, team, channel, knowledge domain, tool set or action class, and can run as a bounded pilot.
Production expansion follows a separate review and acceptance decision.
How does the implementation support our compliance work?
With documented controls and records.Implementations can include access boundaries, human approval points, audit logs, evaluation records and delivery documentation, with EEA-based processing and project-specific DPA terms where required. These records support the customer's own governance and assessment work.
Bring the workflow, not a list of AI features.
Scope an implementation