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See where AI can take over a specific piece of work.

Explore 27 systems for finance, sales, operations, documents, and company knowledge. Every example explains the problem, how the system works, and where a person remains responsible.

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27 practical examples

Find a process similar to yours.

Each entry shows who the system helps, what work it takes over, and the typical cost of building something similar. Open an example for detailed measurements and limitations.

  1. 01AI Agents
    RFQ pricing

    Every price in the sheet points to a precedent or approved rule.

    The system breaks an RFQ into lines and searches quote history and approved costing rules for a price basis.

    The problem

    An estimator extracts materials, operations, quantities, and tolerances from several documents.

    How the system works

    The system creates the line-item list and checks quote history and costing rules.

    Business type
    Manufacturers and B2B suppliers preparing repeat quotes
    Cost
    About PLN 0.0034 for the recorded read of one request for quotation.
    Similar system build
    from €6,000 net (approx. $6,500) · 6–16 weeks
    View full example
  2. TAKEN
    02AI Agents
    Real-estate investment

    An agent that carries a lead from the portals all the way to the first SMS to the owner.

    The system watches saved searches across OLX, Otodom, Gratka, and Morizon, remembers each listing's history, and hands the operator a short decision queue. On the strongest leads it prepares the first contact: an SMS to the owner, ready to send with a single approval.

    Whoever messaged the owner first won

    Whoever messaged the owner first won, and refreshing the portals by hand could not keep up.

    Four portals watched, one decision queue

    The agent watches four portals (OLX, Otodom, Gratka, Morizon) around the clock, so no one has to click through tabs every morning.

    Business type
    Real-estate investors and acquisition teams
    Similar system build
    from €6,000 net
    Sources
    OLX, Otodom, Gratka, Morizon
    View full example
  3. 03AI Agents
    Agent action controls

    An agent can move a case across systems, while every action still receives an independent authorization decision.

    A separate policy layer checks identity, business unit, data class, and action before every ERP, CRM, or DMS call.

    Why a shared agent account creates risk

    A process crosses ERP, CRM, and DMS, each with different roles and credentials.

    What the system does

    Before each action, the system checks identity, business unit, data class, action type, reversibility, and required approvals.

    Cost
    About PLN 0.0032 for the recorded action request; a separate control makes the binding decision.
    Similar system build
    from €6,000 net (approx. $6,500) · 6–16 weeks
    Best for
    Multi-unit organizations with agents working across several systems
    View full example
  4. 04AI Agents
    Tender monitoring

    BZP and TED deadlines and watched proceedings appear in one list.

    The system gathers notices, normalizes the key details, and links every record to its official source.

    The problem

    Tender alerts return many notices matched only by a broad procurement code.

    How the system works

    The system collects BZP and TED notices, normalizes the key data, and puts deadlines on one list.

    Business type
    Contractors and suppliers bidding in public tenders
    Cost
    About PLN 0.00083 for the recorded read of one notice.
    Similar system build
    from €6,000 net (approx. $6,500) · 6–16 weeks
    View full example
  5. 05AI Agents
    Personal operator · your infrastructure

    A personal AI operator, tuned and hosted on your own machine.

    An operator for one person on a proven open-source base: enhanced memory, tools, permissions and skills, tuned to your work, so your data stays with you.

    Separate tools, no shared memory

    Your work is scattered across separate tools: documents in one, research in another, leads and market signals in the next.

    One base, tuned and stood up on your machine

    You get one operator for documents, research, markets, and leads.

    Business type
    Owner-led businesses, executives, and independent operators
    Similar system build
    from €1,200 net
    Base
    A proven open-source foundation
    View full example
  6. INVESTPASS
    06AI Agents
    Private-company screening · investment workflow

    The first pass over the whole list, before the analyst opens a single company.

    This system runs the analyst's first pass across the whole company list: hard gates before AI, per-company research across registry, financials, LinkedIn, and web, an 11-question diligence framework with sources, long memory across runs, and memo plus outreach drafts that wait for approval.

    The prep work ate the time before any judgment

    Before an analyst even began judging a company, the time went on tedious prep work: tidying up messy exports, checking whether a company fit at all, digging up context in registries.

    Hard rules cut the list, the agent studies the rest

    The system takes on the entire first pass across the company list.

    Business type
    PE/VC funds and investment teams
    Similar system build
    from €6,000 net
    Inputs
    Company exports, KRS registry, financials, LinkedIn, web context
    View full example
  7. 07AI Agents
    Client document intake

    Every new document updates the same case file, so staff can see what is missing and what needs clarification.

    The system follows one case across messages and days. It retains documents, deadlines, gaps, and conflicts through a restart.

    Why case files get stuck in the inbox

    Identity documents, powers of attorney, and declarations arrive separately.

    What the system does

    Each document joins the right case.

    Cost
    About PLN 0.00089 for the recorded read of one document.
    Similar system build
    from €6,000 net (approx. $6,500) · 6–16 weeks
    Best for
    Financial intermediaries and back-office teams completing client files
    View full example
  8. 08AI Agents
    Resident ticket handling

    Several reports of the same fault become one case.

    The system gathers phone, email, and portal reports. It groups repeats, proposes a category, and orders the queue by safety and SLA.

    The problem

    The same fault arrives by phone, email, and portal in different words.

    How the system works

    The system keeps each original report, proposes a category, and compares it with open cases.

    Business type
    Property managers, housing cooperatives, and municipal operators
    Cost
    USD 0.010717 for the complete recorded run: 24 reports and 6 model calls.
    Similar system build
    from €6,000 net (approx. $6,500) · 6–16 weeks
    View full example
  9. 09AI Agents
    Company due diligence research

    The analyst starts with a sourced dossier that shows what is known, missing, or inconsistent.

    The system gathers KRS, BZP, and TED records. It groups verified facts, marks missing information, and sends name conflicts to the analyst.

    Why the research takes so long

    For every company, an analyst opens several registries, compares names, and records sources.

    What the system does

    It collects organization records from KRS, BZP, and TED, then organizes them into one dossier.

    Cost
    USD 0.010023 for one dossier with the simpler approach and USD 0.043349 for the same dossier with the multi-step approach.
    Similar system build
    from €6,000 net (approx. $6,500) · 6–16 weeks
    Best for
    Procurement, compliance, and counterparty-analysis teams
    View full example
  10. 10AI Agents
    Moving an automation to a new environment

    Before retiring an old tool, the company checks whether the replacement makes the same decisions.

    The system compares the old and new environments against one shared set of cases. Every difference needs a decision, and unresolved items block the cutover.

    The problem

    A critical automation may run on a platform that is being retired, while many of its rules remain undocumented.

    How it works

    The team first records the expected response for representative cases.

    Business type
    Companies maintaining production automations in an older environment
    Cost
    USD 0.030373 for the recorded 12-case run, or about USD 0.002531 per case.
    Similar system build
    from €6,000 net (approx. $6,500) · 6–16 weeks
    View full example
  11. 11AI Agents
    Agent technology comparison

    The team tests six technologies on the same tasks before choosing a foundation for the new system.

    Six approaches receive identical tasks and refusal rules. The result shows differences in execution time, errors, and behavior.

    The problem

    Technology comparisons often use different data and rules, making them a weak basis for a decision.

    How it works

    Six implementations receive the same fifty cases and response rules.

    Business type
    Software and automation teams selecting an agent platform
    Cost
    About PLN 0.0019 for the separate recorded connection check.
    Similar system build
    from €6,000 net (approx. $6,500) · 6–16 weeks
    View full example

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