The system of record for AI investment decisions

Which AI investments, in what order, on what evidence?

Operient shows where AI is worth funding, what should come first and what oversight each investment needs. You get an evidence-based recommendation built on data from your own operation.

Book a call See the platform

Vendor-independent platform·We recommend what fits your operation, independent of any tool or vendor.

2–3 hours for your first assessment in the platform

Use cases

How Operient strengthens decisions on AI

Our platform helps when many ideas compete for the same budget, a pilot has stalled, vendors are offering AI in the systems you already use, or the strategy needs an evidence-based foundation.

Many ideas, limited budget

Operient ranks the opportunities by value, AI suitability and governance requirements. The ranking gives you a basis for deciding what to fund first.

See the worked example → Vendor offers

Your vendors are offering AI in the systems you already use. Operient ranks the workflows in the process area on every factor in the assessment, so you can see which upgrade or add-on fits best this time.

See a worked example → The board asks for a position

Instead of a policy document, the board gets a recommendation on where to invest, with its rationale and an estimated value.

See the worked example → A stalled pilot

Operient assesses the pilot against today’s situation and recommends whether to continue, wait or stop.

See the worked example →

Why Operient

The assumptions change faster
than the plans

Today

Investment

Most companies have started using AI to some degree. Many cannot show what it delivers. Time and budget are spent on pilots, many of which never reach production.

Ongoing

Technology

New tools, models and prices appear every month. What didn't pay off last year may today, and the other way round.

Now and 2027

Regulation

Financial firms must already manage and document ICT and third-party risk, including the AI they buy (DORA). From December 2027 the EU AI Act adds requirements for high-risk systems. Iceland is expected to follow through the EEA.

Sources: Regulation (EU) 2022/2554 (DORA); Regulation (EU) 2024/1689, as amended by Regulation (EU) 2026/1744.

Most AI investment decisions are still made in slide decks, meetings and spreadsheets. They are hard to compare, hard to defend and out of date within months. Operient keeps the assessment, the reasoning and the oversight in one place, and updates them when the assumptions change.

Inside Operient

The decision is traceable

For each opportunity, the report shows the expected value, priority, assumptions and governance requirements. That makes clear not only what to do, but why.

1 / 4

First, you record how the work is done today.

Current-State Baseline

Current state for the example company: 10 process areas, 6,521 hours of work per month, 92% data completeness.

Sample with fictional data. The company is not an Operient client.

What Operient delivers

A solid basis for the investment decision

Operient brings data, assessment and assumptions together in one place. You get an evidence-based recommendation on what should be prioritised, what value is likely to be achieved, and which governance requirements must be met before you invest. The decision is always yours.

AI suitability

Where AI can create value, given what the operation requires and what the technology can reliably do today.

Value and assumptions

The expected value, costs, uncertainty and the assumptions the result depends on.

Governance and oversight

The controls, accountability and oversight that should be in place before moving forward.

Recommendation and review

The recommendation, the rationale behind it and when the decision should be reviewed.

The method

From your data to an evidence-based recommendation

Operient brings two things together: your data on the workflows, and Operient's capability snapshot of what AI solutions on the market can reliably do today. The snapshot is updated as the technology changes, and every result is recorded with the version it was based on. The assessment is re-scored whenever your data, assumptions or the technology change.

See how it works →

Where Operient fits

Operient comes before implementation

Companies have the data, tools and partners to implement AI. Operient helps you choose what to implement, in what order and on what basis.

01
Operational data

You provide evidence of how work runs today: volumes, handling times and exceptions.
02
Operient: investment recommendation

Operient assesses your data against a capability snapshot of what AI solutions can reliably do today. The recommendation shows what should come first, what value to expect and which conditions must be met.
03
AI implementation

You or your partners implement the new AI solution and connect it to your systems. Operient takes no part in the implementation.
04
Run and oversight

You run the solution and monitor it. When the assumptions or the technology change, it goes back into Operient for a new assessment.

Operient does not replace process intelligence, automation platforms or AI monitoring tools. It shows which opportunities should go to them, and why.

What Operient is — and what it is not

It is

A step before the build

It sits between “where should we use AI?” and the tools that build and run things.

Evidence-led

It reasons from what you already know about how your processes run today.

Consistent

The same inputs give the same answer — today, next year, and in front of a regulator.

Re-run, not re-written

When capabilities change, the decision is re-scored and the prior one kept as the record.

It is not

An automation platform

We build no agents, bots or automations. We show which ones are worth building.

Process mining

We take your process evidence as input rather than discovering it.

A rival to the platforms you run

We sit upstream and say what to do with them, and in which order.

A consulting report

A report ages from the day it lands. An assessment is re-scored against the world as it now is.

Who it's for

Leaders and teams who make decisions on AI

CIOs and COOs

Delivery capacity goes to the cases that pay off.

CFOs and finance teams

AI should meet the same bar as any other investment.

Risk and compliance leaders

The oversight needed is clear before anyone commits.

The process areas the scoring is built for

Finance operations

Invoice exception handling
Accounts payable & supplier invoicing
Expense reimbursement
Regulatory & tax reporting

Customer service

Service request triage
Case routing & escalation
Customer onboarding
Refund & complaint handling

IT service management

Incident triage & routing
Change advisory
CMDB reconciliation
Access provisioning

HR service delivery

Employee onboarding & offboarding
HR case management
Policy Q&A
Benefits administration

Supply chain & order handling

Supplier onboarding
Purchase order exceptions
Cold-chain excursion handling

Back-office & document ops

Contract review
Claims & eligibility processing
Data entry & reconciliation
Document indexing

Key advantages

An assessment that holds up when it’s questioned

One standard for every opportunity

Every opportunity is scored against the same criteria and the same capability snapshot, so priorities rest on evidence rather than vendor pitches or internal pressure. Scores are calculated, not generated by a language model.

Traceable for auditors and regulators

The data, assumptions and capability snapshot version are recorded with every recommendation. When the board, auditors or a regulator ask how a decision was made, the answer is ready.

You keep the decision record

Every assessment and re-score comes with its full record: the data, the assumptions and the capability snapshot version used. The record is yours, so the history behind each decision stays with you, not with a consultant.

The Operient team

The founders run your first assessment

We run your first assessment together with your team, so they learn the method on your own data. After that, your team continues in Operient.

Co-founder & CEO

Jóhanna Ríkarðsdóttir Færseth

Responsible for Operient’s method and works through the first process area with customers. The method is documented and versioned in the product itself. Nearly twenty years in finance and technology, including responsibility for running and developing large enterprise systems. Specialist in information security management and compliance (ISO 27001).

Co-founder & CTO

Óðinn Thor Harðarson

Builds the product and is responsible for Operient’s technical architecture, security and hosting. Maintains the capability snapshot so recommendations reflect what the technology can actually do. Over ten years in IT, six of them leading enterprise systems and data architecture.

Book your first assessment More about us →

First assessment

An AI investment decision you can defend, for 2–3 hours of your time

Choose one process area. We assess which of its workflows justify AI investment, in what order, and what governance each one needs.

Request a first assessment Talk to us first

ScopeOne process area of your choice.
What you get
- A ranking of your workflows by AI suitability, value and governance requirements, with the reasoning shown.
- An executive report your leadership team can act on.
- 12 months of access to Operient to re-score this process area when AI capabilities, costs or your priorities change. Additional process areas are assessed separately.
Your time2–3 hours, across two working sessions.
You provideSummary figures you already have, such as volumes and handling times from reports or Excel. No personal data, no system integration and no access to your systems. Covered by a confidentiality agreement.

Fair questions

Frequently asked questions

Answers to the questions we hear most often.

If yours isn't here, get in touch.

Isn't this just a spreadsheet?

No. A spreadsheet holds numbers, not a method. Everyone who fills it in scores differently, formulas break when rows are added, and nobody knows which version is the right one. It knows nothing about what AI can do today, and governance requirements are only included if someone remembers them. Operient scores every opportunity against the same rules and the same capability snapshot, and records each result with its assumptions. Eighteen months later you can show what you knew, what you assumed and what AI could do on the day the decision was made. A spreadsheet can't do that.

How is Operient different from hiring a consultancy?

A consulting engagement delivers a report that describes the situation on the day it was written. When the technology, rules or assumptions change, which often happens within months, you need a new engagement. The rationale behind the recommendations often leaves with the consultants when the project ends. In Operient the results stay in use: every opportunity is scored against the same criteria, every decision is recorded with its rationale, and your team keeps it up to date. Consultants can also work with you in Operient, and then the result stays with you.

We've already started implementing AI. Is it too late to use Operient?

No. Most organisations already use AI to some extent. Work in progress is assessed like anything else: sometimes the assessment confirms the decision, sometimes it gives a recorded reason to stop. Better to stop with reasons than to let a project fade out.

What counts as a process area?

A process area is one bounded area of work owned by one function, such as invoice handling, service requests or contract management. It usually contains several workflows, for example invoice data capture, exception handling and supplier queries. Each workflow is assessed as a separate opportunity. You don't need a breakdown in advance: we do it with you in the first session.

Do you need access to our systems or data?

No. You send us an extract, for example from your ERP or service desk, with volumes, handling times and exceptions. Nothing is installed on your side and no personal data is needed.

Where is our data, and what happens when AI changes?

We confirm in writing where your data is hosted and processed before you send anything. When AI capability changes, we publish a new version of the capability snapshot, and earlier decisions keep the version they were based on. Nothing changes without you seeing it.

Do you recommend vendors or implementation partners?

No. Operient recommends which opportunities to prioritise and on what basis. Who carries out the implementation is the customer's decision. Operient's founders are also partners in the consultancy Kritavi, but Operient never recommends a specific provider, and every result rests on the same method, whoever takes on the work.