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SMB and mid-market buyers

Know what to buy before asking for proposals

Describe a real business problem, your tools and constraints. AIPartnerLens first helps you decide whether the right path is existing software, automation, an internal build, custom AI or an external provider — then compares a few providers only if external execution is actually relevant.

Manual review

Each request is reviewed against available profiles rather than ranked automatically.

A few profiles

The aim is 3 to 5 reasoned options rather than an exhaustive directory dump.

No obligation

You decide which providers, if any, you want to contact afterwards.

I am not sure which solution path to look for yet

Describe the problem — we challenge the solution with you

Describe the current process, what is blocking you and the main constraints. AIPartnerLens starts by telling you which execution path deserves to be tested — and which one to avoid — before talking about providers.

* required fields

I already have a provider in mind (optional)

The request is free during V0. No provider is contacted automatically without your consent.

How it works

How AI PartnerLens turns a problem into a buying decision

The request starts from the business problem, not a provider category. It first clarifies the likely execution path, then compares profiles only if external help makes sense.

  1. 1

    Describe the problem

    Explain the process, the users involved, the expected outcome and what is blocking you today.

  2. 2

    Clarify the approach

    Distinguish existing software, automation, internal build, custom AI or a real need for an external provider.

  3. 3

    Compare if needed

    If external execution is relevant, AIPartnerLens reviews a few profiles, explains why they may fit and highlights points to verify before contact.

Useful brief

Information that makes the selection more precise

The need can still be imperfectly defined. A few specific details prevent unlike proposals from being compared as if they covered the same scope.

Business problem

What is done today, by whom, how often and with what impact.

Expected outcome

The observable change sought: speed, quality, volume, adoption, fewer errors or better decisions.

Systems and data

CRM, ERP, helpdesk, documents, databases, APIs, access constraints and documentation level.

Project framework

Indicative budget, timeline, internal sponsor, teams involved and expected maintenance level.

You can also prepare an AI project brief, use the AI provider comparison guide, or check the budget information worth sharing.

Methodology

How profiles are compared

A useful shortlist depends on more than a category. It should account for the business context, expected evidence level, tools already in place and operational risk.

Use cases

Customer support, prospecting, internal documents, reporting, HR, training, automation or AI strategy.

Budget / scope

Indicative range, expected integration level, maintenance and recurring costs to anticipate.

Available evidence

Demos, client case studies, anonymized deliverables, references or private evidence to request before signing.

Technical environment

CRM, support tools, Make, n8n, OpenAI, Notion, SharePoint, internal tools or existing constraints.

Internal maturity

Available data, documentation, project owner, team time and expected adoption level.

Risks and fit

Dependencies, reasons a provider may not be the right fit, unclear maintenance, security, data quality and limitations to verify.

Outcome and limitations

What the request helps prepare

What you receive
  • A first read on the execution path to test: existing software, automation, internal build, custom AI or external support.
  • If an external provider is relevant, a short selection of profiles that may fit your context.
  • Decision criteria and points to verify before contacting or signing with a provider.
What it does not guarantee
  • No ROI guarantee.
  • No guarantee that a provider will be available.
  • No paid ranking.
  • No replacement for a full legal, technical or security audit.
Transparency

Why it is free during V0

AIPartnerLens is in a launch phase. Shortlist requests help us better understand real SMB and mid-market buyer needs and improve the comparison framework: use cases, budget, evidence, risks, tools, maturity and fit.

The business model may include verified, maintained or enriched provider profiles. This monetization cannot buy a better recommendation, hide a risk or influence editorial analysis. Paid profiles can make a provider's services easier to understand; editorial qualification and limitations remain independent.

FAQ

Frequently asked questions before requesting a shortlist

Is the shortlist paid?

During V0, requesting a shortlist is free. It helps AIPartnerLens understand buyer needs and test the value of a more structured comparison.

Can providers pay to be recommended?

A provider can pay to structure or maintain its profile, but it cannot buy an editorial recommendation, hide a risk or remove a documented reason it may not be the right fit.

How many providers will I receive?

The goal is to suggest a few relevant profiles, not an exhaustive list. The number depends on the need, budget, maturity and available profiles.

Can I request a shortlist if my need is not fully clear yet?

Yes, if you can describe the business problem. AIPartnerLens can help clarify the need before comparing providers.

Does AIPartnerLens replace a scoping call?

No. The shortlist helps prepare discussions, but it does not replace detailed scoping with the selected providers.