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OUR APPROACH

Research-informed assessment of your AI opportunities

We combine published research, industry knowledge and your team’s experience. Clear questions help us understand each idea; a consistent scoring method makes the trade-offs easier to discuss.

See the method in use ↗Read the research
A CONSIDERED RECOMMENDATION

How we develop recommendations for your business

Your consultant guides the assessment and brings the findings into context. The results make it clear which ideas deserve attention, why they stand out and what a useful next step would be.

Ideas grounded in your work

Start with the situations your team knows. We help turn a practical need into an idea worth examining.

Reasons you can examine

Relevant research, your business information and consultant judgment help establish what is promising and what still needs checking.

A practical next step

Receive clear priorities and a recommendation on how to test or develop the leading ideas.

RESEARCH IN CONTEXT

A finding is a starting point.

We consider the task, the people and the operating conditions behind a study before applying its findings. A successful result elsewhere helps frame a useful question; the benefit for your business still needs to be established.

Explore the research ↗
ESTIMATES WITH CLEAR ASSUMPTIONS

Be clear about the expected benefit.

We can begin with an approximate annual estimate and refine it as more information becomes available. Released time, additional contribution and reduced spending describe different benefits. The recommendation explains what the estimate assumes and what should be measured in a trial.

Estimates are before implementation and running costs. They support discussion and do not establish a guaranteed financial return.

OPTIONAL AI ANALYSIS

A second view of the same idea.

AI can bring an additional research-informed perspective to the information already collected. Your consultant reviews the reasoning and explains its relevance. You can also continue without AI; the ideas remain comparable on a common basis.

The overall score supports prioritisation within a project. It is not a prediction of returns or success.

THE DISCOVER PROCESS

The five stages of a consultant-led Discover assessment

Start with the work and the business need. Consider an existing feature, a ready-made product or ordinary automation before commissioning a custom solution.

  1. 01
    Project Information

    Agree what matters.

    Define the business areas, objectives and annual impact reference. Share the context your consultant needs before the workshops.

  2. 02
    Generate

    Find ideas in everyday work.

    Your team describes where work could improve. A name and a short description are enough to start; no technical proposal is needed.

  3. 03
    Evaluate

    Build a clear case for each idea.

    Examine the idea, the expected benefit and what a practical trial would involve. Optional AI analysis adds a second view with research and reasons.

  4. 04
    Rank

    Choose where to start.

    See the leading ideas, the reasons for the recommendations and what still needs checking. Record whether each could be implemented in-house or with an external partner.

  5. 05
    Implementation Partners · optional

    Find the right implementation expertise.

    If you choose this step, Versta finds up to three potential partners matched to the leading projects, your industry and the technical requirements.

THE METHOD IN PRACTICE

Recommendations and supporting reasons in one view

A fictional project illustrates the results. Scores indicate relative priorities within a project; they do not measure ROI or the probability of success.

Discover / Northline ServicesFictional example
  1. 01Project Information
  2. 02Generate
  3. 03Evaluate
  4. 04Rank
  5. 05Implementation PartnersOptional
04 / Your priorities

A clear place to start.

Five ideas assessed. Three worth exploring further.

AI included
Recommended first

Knowledge search

Help the service team find reliable answers in the tools they already use.

Existing software feature
81.7/ 100
Versta score
Estimated annual impact€75,000/ yearValue of released capacity
Suggested next step

Run a small trial with the service team. Check answer quality and time released.

Your ideas, in perspective.

Open an idea for details
01Knowledge searchExisting software feature€75,000/ year · estimate81.7/ 100
The idea

Help the service team find answers in approved instructions and product documents, with links to the original sources.

Information retrieval & synthesis
Next step

Test search quality with the service team.

02Invoice follow-upTraditional automation€37,500/ year · estimate78.8/ 100
The idea

Send reminders using clear payment rules and route disputed invoices to a person for review.

Traditional automation (without AI)
Next step

Confirm exception rules with finance.

03Sales proposal assistantExisting solution€75,000/ year · estimate66.9/ 100
The idea

Draft proposals from approved service descriptions. Sales staff check the scope, price and commitments before sending.

Content generation
Next step

Check the contribution estimate in a trial.

04Request routingExisting software feature€37,500/ year · estimate65.6/ 100
The idea

Classify incoming service requests and suggest the right team. A person handles unclear or sensitive requests.

Automation
Next step

Measure routing accuracy on past requests.

05Report draftingExisting solution€12,500/ year · estimate41.2/ 100
The idea

Prepare a monthly operating report from team updates. Source definitions and reporting practices first need to be agreed.

Information retrieval & synthesis
Next step

Agree source data and reporting practices.

Illustrative estimates before implementation and running costs. Scores help compare ideas; they do not predict returns or success.

Why knowledge search comes first

Illustrative AI findings supporting the recommendation.

  • A useful starting point

    Approved source documents give the trial a clear starting point. Retrieval research supports testing answers grounded in relevant sources.

    Lewis et al. · 2020 ↗
  • A manageable first step

    The existing software offers a way to start without building a new system. This is an inference from the fictional case.

  • Something to verify

    Performance varies by task. The trial needs to establish whether reliable answers release useful time in this team.

    HBS · 2023 ↗

Research informs the assessment; it does not validate this fictional company’s benefit estimate.

Results preview · fictional data and AI findings · example choices reset on reload

A recommendation you can question.

You can see which information supports each conclusion, what remains uncertain and what would change the recommendation. Your consultant brings the research into context and helps you decide the next step.

Explore the Discover service ↗