AI-native business infrastructure  /  001

Building Truth.

AI has transformed how we build software. Archiveris brings that same transformation to business infrastructure: the data, decisions, and actions your business depends on. Create them faster, govern them confidently, and reuse them everywhere.

Build with AI. Operate without it.

01 / The opportunity

Code is disposable. Your business isn’t.

AI lets you build, rebuild, and reinvent software faster than ever. But the foundations of your business — its data, decisions, and actions — need to endure. Build whatever you want. Change it whenever you need to. Just don’t rebuild your business every time.

01 / Data

Know the business.

Customers, products, relationships, and context. More than tables — an accurate model of how the business actually works.

02 / Decisions

Apply the business.

Policies, regulations, and calculations. Consistent outcomes grounded in requirements, not improvised at runtime.

03 / Actions

Act on the business.

What can be done next, by whom, in the situation at hand — and the conditions that come with it. Possibilities made explicit.

The next leap isn’t just writing software faster.

It’s building foundations that outlast it.

02 / What we build

Three hard problems. Three purpose-built products.

Independent products. A common conviction: essential business capabilities should be easier to create, easier to govern, and available wherever they’re needed.

Jiwari

Business data and context

What is true?

Model entities, relationships, and the structure of your business so software and agents can work from a dependable foundation.

Explore Jiwari

Kebiki

Business decisions

What should happen?

Turn complex policies and requirements into tested, explainable decision services that give the same answer to the same facts.

Explore Kebiki

Teban

Business affordances

What can happen next?

Define business actions and their conditions once, and let applications, workflows, and agents discover what’s available, what’s blocked, and why.

Explore Teban

Featured / Agentic AI

Your AI agents are ready. Is your business infrastructure?

An agent can reason, plan, and act. But it shouldn’t have to invent the facts, reinterpret the policy, or work out for itself which actions are open. Give it dependable business capabilities instead.

  • Facts grounded in the businessReliable data and context, not guesses assembled from a prompt.
  • Decisions grounded in policyTested rules and consistent outcomes, not a fresh interpretation every time.
  • Actions it can actually takeWhat’s open in this situation and what isn’t, decided outside the agent proposing to act.

03 / Our engineering philosophy

Put AI where it does its best work.

AI is extraordinarily useful for interpreting, modeling, drafting, and testing. But when the business needs a dependable answer, it needs more than a plausible one. So we build with one and operate with the other.

Build time / Intelligence

Let AI do the difficult preparation.

Help experts turn business knowledge into explicit definitions. Surface ambiguities. Accelerate modeling and implementation. Make review and iteration faster.

Human expertise remains in control of what gets approved.

Runtime / Reliability

Let governed software do the operating.

Make critical business capabilities available through predictable services. Test them. Version them. Change them deliberately. Use them from software, workflows, and agents.

The outcome doesn’t depend on what an AI model thinks today.

Use AI to create the capability.

Don’t make AI the capability.

04 / A closer look

Jiwari

Context

From business knowledge to working software.

Every new application needs to understand the business: its customers, products, relationships, and data. Too often, developers have to rediscover and reconstruct that understanding from scratch.

Jiwari helps you establish a governed business data foundation that applications and AI agents can build upon — without repeatedly reinventing the underlying model.

Model your business once.Build on it everywhere.

Illustrative workflow  /  Customer operations

1
Business domainKey concepts and sources

Source materials

  • Customer data dictionary
  • Product catalog
  • Sales process guide
  • Org structure
  • …
2
Business modelEntities, attributes, rules
Customercustomer_id · name · status · segment
Orderorder_id · date · status · total_amount
Productproduct_id · name · category · price

Customer 1..* Order · Order *..1 Product

3
Govern & validateReview, test, approve
  • Schema validated
  • Business rules defined
  • Data quality checks
  • Access controls configured
  • Approved for production
Reviewed and approved by Data GovernanceApproved
4
Published servicesGoverned data APIs

GET /v1/customers/{id}

{
  "customer_id": "10482",
  "name": "Acme Industries",
  "status": "active",
  "segment": "commercial",
  "locations": 12,
  "open_orders": 38,
  "contracts": 3
}
v2.1.0Production
5Consume/ Customer lookup exampleResponse time 120ms

Application

Your app or AI agent calls the Jiwari API

GET /v1/customers/10482
Authorization: Bearer <token>

// Use the returned data in your application
// No need to model customers from scratch

Customer 10482 — Acme Industries

Customer ID
10482
Locations
12
Name
Acme Industries
Open orders
38
Status
Active
Active contracts
3
Segment
Commercial
Credit limit
£250,000
Industry
Manufacturing
Risk rating
Low
Consistent business context, available to every application and agent

Illustrative. Names, identifiers and figures are invented.

05 / A closer look

Kebiki

Decisions

From policy to production.

A business policy is only useful when it’s applied correctly. Yet translating complex requirements into software traditionally means months of interpretation, implementation, testing, and maintenance.

Kebiki uses AI to accelerate that work, turning authoritative policies into tested, explainable decision services. At runtime, every decision follows the approved rules — not an AI model’s interpretation.

Define the decision once.Apply it consistently everywhere.

Illustrative workflow  /  Motor insurance claim

1
SourceAuthoritative policy

Motor insurance policy

“Collision damage is covered subject to the terms below…”

Section 3.2, as issued

2
AI interpretationRequirements + logic

Extracted rules

Collision coverage
Exclusions
Limits and deductibles
Evidence requirements
3
Expert review & testingApproved behaviour
  • Rules reviewed
  • Test cases created
  • Edge cases validated
  • Approved for production
Reviewed and approved by Domain ExpertApproved
4
Published serviceVersioned decision API

POST /v1/decisions/claim

{
  "claim_id": "4821",
  "type": "collision",
  "amount": 7250,
  "vehicle_age": 3,
  "evidence": [...]
}
v1.3.0Production
5Execute/ Claim #4821Response time 46ms

Claim details

Claim ID
#4821
Type
Collision
Amount
£7,250
Vehicle age
3 years
Location
Manchester
Submitted
14 Aug 2026

Covered · £7,250 payable

The claim is covered under collision damage provisions with no applicable exclusions. Payment approved for £7,250.

Key reasons
  • Collision damage is covered under section 3.2
  • Vehicle is within the age limit (5 years or under)
  • No applicable exclusions found
  • Required evidence provided
Supporting clauses (3)Execution traceAPI response

Illustrative, from a sample policy wording. Not a customer result.

06 / A closer look

Teban

Affordances

Know what can happen next.

Every business application needs to know what a user, agent, or system can do next. The answer depends on who they are, what they’re working with, and the current state of the business.

Teban makes those possibilities explicit. Define business actions and their conditions once, and let applications, workflows, and agents discover what’s available, what’s blocked, and why.

Define what’s possible.Make it available everywhere.

Illustrative workflow  /  Insurance claim

1
Business contextWho, what, current state

Current context

  • Claim #4821Auto insurance
  • UserAdjuster, level 2
  • StatusOpen
  • Claim amount£7,250
  • InspectionNot completed
  • Policy decisionCovered
2
Evaluate affordancesActions, conditions, constraints

Teban evaluates the context against your UCL definitions

{
  "context": { ... },
  "affordances": [
    {
      "action": "add_evidence",
      "available": true,
      "reason": "Claim is open",
      "constraints": { ... }
    },
    { ... }
  ]
}
3
Consuming applicationShow available actions

Application UI, driven by Teban

Claim #4821 Open
Add evidence ›
Request inspection ›
Approve settlementInspection outstanding
›
Escalate claim ›
Reopen claimClaim is not closed
›
4
Governed capabilityUCL service, versioned

Publish and reuse

GET /v1/affordances/claim

{
  "affordances": [
    {
      "action": "add_evidence",
      "available": true,
      "reason": "Claim is open"
    },
    {
      "action": "approve_settlement",
      "available": false,
      "reason": "Inspection outstanding"
    }
  ]
}
v1.0.0Production
5Affordance results/ Available actions for this contextEvaluated in 42ms
Which actions are available in this context, and why
ActionAvailable?ReasonKey constraints
Add evidenceYesClaim is openAccepted document types: PDF, JPG, PNG
Request inspectionYesInspection not yet completedAssign to an approved vendor
Approve settlementNoRequired inspection outstandingMaximum £10,000 for a level 2 adjuster
Escalate claimYesWithin adjuster authorityEscalates to a senior adjuster
Reopen claimNoClaim is not closedOnly available for closed claims

Illustrative. Teban is an emerging product: this is the proposition, not a deployment.

Let’s build something that matters

The hard part of software deserves a better way.

Tell us which business capability is holding you back. We’ll show you a different way to build it.