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AI & Automation — proposed services

Practical AI. Built around your business.

Start with the work that needs doing—not a tool looking for a problem. We scope systems that bring clarity to purchasing, reduce repetitive administration and connect the information your team already uses.

Everything on this page is a proposed custom-build service — scoped, designed and developed per engagement. Nothing here is a live integration, a connected supplier database, or a claim about past client results.

How the work flows

Documents → Structured data → Human review → Action

The pattern behind every application on this page. Automation handles the tedious middle; people keep both ends.
  1. 01

    Documents

    Quotes, invoices, catalogs, SOPs — the material your business already produces.

  2. 02

    Structured data

    Extracted, normalized and organized — every value linked back to its source.

  3. 03

    Human review

    A person approves, corrects or rejects. Uncertainty is flagged, never hidden.

  4. 04

    Action

    Approved output flows to the next step: a quote comparison, a catalog export, a decision.

Steps 2 and 4 are where tooling earns its keep. Step 3 is never optional.

Five service applications

Pick the workflow that's costing you time.

Each starts from a real business problem and ends with a human in control. Engage one, or combine several.
  1. 01

    Supplier & Quote Intelligence

    Discuss this application

    The problem

    Quotes arrive in incompatible formats with missing freight, MOQ and lead-time details, and comparisons happen on unit price alone.

    Proposed inputs

    Client-authorized quotes and sourcing documents you provide. Today this work is manual — structured intake and side-by-side modeling. Reviewed AI-assisted extraction is a future, scoped option, not a current capability claim.

    Scoped outputs

    Comparable cost models with missing fields and assumptions made visible, plus draft supplier questions for your review.

    Human review: Validation and approval stay with you for any communication, order, commitment or purchase. Nothing is sent, ordered or agreed automatically.

  2. 02

    Product-to-Market Launch Systems

    Discuss this application

    The problem

    Specifications, sample approvals, packaging tasks and catalog content are coordinated across scattered documents, and launch steps slip.

    Proposed inputs

    Your product specifications, sample and packaging requirements, and the launch tasks your team already tracks.

    Scoped outputs

    Structured product records, draft catalog content for review, and launch checklists that show what is done and what is blocking.

    Human review: Specifications, images, claims, eligibility and publication all pass human review. Integrations depend on access, APIs and platform rules — not every-marketplace guarantees.

  3. 03

    Connected Operations

    Discuss this application

    The problem

    The same data is re-keyed across quotes, orders and inventory, and nobody trusts that the numbers in one system match another.

    Proposed inputs

    A map of where re-keying happens across your quotes, orders and inventory, and an assessment of the permissions each system allows.

    Scoped outputs

    Read-only reporting first, then approval-gated handoffs and exception queues — with duplicate prevention and reconciliation built in.

    Human review: Every handoff that changes data waits for approval. No account is connected in this preview; connections are scoped per project.

  4. 04

    Company Knowledge Assistants

    Discuss this application

    The problem

    Answers to routine questions live in a few people's heads and inboxes, and new team members reinvent decisions that were already made.

    Proposed inputs

    Approved source material you choose — policies, SOPs, project records — with source references and dates attached to every answer.

    Scoped outputs

    A permission-aware assistant that answers from your sources, cites them, and says plainly when the answer is not in the material.

    Human review: Sources ground the answers but do not guarantee correctness — a person verifies anything consequential. No upload or live chat exists in this preview.

  5. 05

    Custom Business Portals

    Discuss this application

    The problem

    Scorecards, quote trackers, project status and field documentation are scattered across email threads, and nobody knows what is current.

    Proposed inputs

    The real workflows and permissions your team and suppliers operate under — who needs to see and change what.

    Scoped outputs

    Scoped portals and dashboards: supplier scorecards, quote trackers, customer portals, inventory and project views, maps, inspections and field documentation.

    Human review: Access, security and audit requirements are scoped with you before anything is built. Illustrative property or construction uses are workflows, not brokerage or licensing claims.

What you can try here

Working tools today; custom services by engagement.

The tools below run entirely in your browser with transparent, deterministic logic — no AI, no upload, no sign-up. The applications above are proposed custom services we scope and build per client.
01

Opportunity Assessment

A six-step guided assessment that suggests workflows to explore — transparent rules, reasoning shown, nothing uploaded.

Open tool
02

Supplier Comparison

Compare supplier quotes on a common quantity with MOQ uplift, known-cost completeness and exact arithmetic.

Open tool
03

Sourcing Brief & RFQ Builder

Turn what you know about a product into a structured brief and RFQ question checklist, ready to review and send yourself.

Open tool

Illustrative use cases

What this looks like in practice.

Hypothetical examples to show the shape of the work — not client results or case studies.

Illustrative — not a client result

Three quotes, one honest comparison

A buyer receives three supplier quotes with different MOQs, freight terms and lead times. Modeled on a common quantity, the 'cheapest' unit price turns out not to be the cheapest order — and the negotiation questions write themselves.

Related application: Supplier & Quote Intelligence

Illustrative — not a client result

A supplier catalog, ready for review

An e-commerce team gets a 2,000-row supplier catalog. The workflow normalizes it into clean products and variants, drafts copy for approval, and queues every item for human review before anything is exported.

Related application: Product-to-Market Launch Systems

Illustrative — not a client result

The re-keying nobody measured

An operations team copies the same order details between three systems every day. Mapped end to end, the handoffs become a read-only report first — then approval-gated automation where it proves its value.

Related application: Connected Operations

Ways to engage

Start as small as you like.

Three proposed engagement shapes. Scope, timing and fees are agreed with each client before work begins.
01

Opportunity Review

A focused look at one workflow: where time goes, what data exists, and whether tooling is worth building at all.

  • Workflow and data review
  • Written opportunity assessment
  • Honest recommendation — including 'don't build it'
02

Focused Implementation

One bounded build, tested against your actual work before anything scales.

  • Working tool for one workflow
  • Measured comparison against the manual process
  • Go/no-go recommendation for next steps
03

Ongoing Improvement

Optional continued refinement, with review rhythms so the tool keeps earning its place.

  • Iteration based on real usage feedback
  • Team training and documentation
  • Periodic review of value and cost

Questions

Asked often, answered honestly.

Do we need to replace our existing systems?
Usually not. Most builds sit alongside what you already use — reading from it, organizing its output, or replacing only the fragile spreadsheet layer. If a tool you already pay for can do the job, we'll say so.
Where does human review fit in?
Everywhere it matters. Supplier outreach, quote decisions, catalog publishes and flagged document extractions all wait for a person. Automation prepares; people decide.
What about sensitive data?
Sensitive data changes the design, not just the disclaimer. Permissions, redaction and review steps are scoped before anything is built, and regulated data gets extra care from the first conversation.
Is AI always part of the answer?
No. Many of the most valuable builds are straightforward software: a better database, a cleaner workflow, a tool that replaces a spreadsheet. AI is used where it genuinely helps — extraction, drafting, normalization — and left out where it doesn't.
Are these tools live AI products we can use today?
The free tools in our Tools section run entirely in your browser with deterministic logic — no AI involved. The applications on this page are custom consulting and development engagements, scoped and built per client. There is no finished all-in-one AI product being sold here.
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