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A first engagement that ends in a decision basis

We map one repeatable workflow of the company, compare an AI build with non-AI alternatives, and hand the people in charge a reviewable decision basis. No tool runs anything on its own.

Jump to the summary for reviewers

Buyer summary

The offer and its boundaries at a glance

Reviewers can open this section directly: it works without JavaScript, forms, or contact collection, and prints with the offer intact.

  1. The proposed service

    • Single-Workflow Feasibility Review — proposed, not taking orders yet.
    • One workflow in, one decision basis out: process map, data and risk boundaries, and a test and decision plan.

  2. Visible prerequisites

    • One process owner who can answer for the workflow
    • A valid sample format that is actually in use
    • A reviewer for the result

  3. Not included automatically

    • Core system migration
    • Production integration

  4. How cost is prepared

    • Cost depends on process scope, data condition, integration, and testing. Exact figures, taxes, terms, and duration ranges are published only after costing and owner approval.

  5. Status

    • Proposed — not taking orders yet. The local preview is the only next step, and it sends nothing anywhere.

Any example on this page is an explicit fictional illustration — never a real delivery, a customer result, or proof that a tool is ready.

Full conditions follow below; printing this section keeps the offer and its boundaries together.

The first engagement

One workflow in, one reviewable decision basis out

The designed first step for a company that is considering AI is a review — and the review never assumes AI is the answer.

Single-Workflow Feasibility ReviewProposed — not taking orders yet

What the engagement produces

  • Process map

    Current steps, the people who run and review them, inputs and outputs, bottlenecks, and a baseline.

  • Data and risk boundaries

    What data is allowed, its flow and providers, access, review controls, integration, and exclusions.

  • Test and decision plan

    Success measures and thresholds set before testing, error cases, solution options, conditional estimates, and continue, revise, or stop choices.

Human review at every step

AI proposes; people review and approve. Every output of the engagement is a proposal owned by a named reviewer, and nothing is sent, scheduled, or executed without a human approval.

This page describes the designed engagement. It is not a ready service and takes no orders yet.

Example deliverable

A fictional illustration of the output

One labelled case shows the shape of the output before any real work, so reviewers can judge the method rather than a promise.

  • What it shows

    Source, draft, and human review working as one labelled document-to-record workflow.

  • Data origin

    Synthetic data created by the team to explain the design — fictional, not company data.

  • Method

    No functional test has run yet; only the design and its labels are shown.

  • Results

    No test results exist yet, so none are reported.

Explicit fictional illustration: not a real delivery, not a customer result, and not proof that any tool is ready to use.

A real engagement would replace this illustration with its own reviewed output.

Input prerequisites

What a review needs before it starts

The company names three things, and a review only starts when all three are real.

  • One process owner who can answer for the workflow
  • A valid sample format that is actually in use
  • A reviewer for the result

Without these, the honest answer is to stop before starting.

Fit and disqualifiers

Where a review helps, and where it stops

The review decides whether AI, a process fix, or an existing tool fits the workflow.

Worth reviewing

  • Repetitive work with a defined output
  • Results that can be inspected and corrected
  • Legitimate source data is available
  • An owner and a reviewer are available

Not a fit yet

  • No data or no process owner yet
  • A wish to replace a whole system at once
  • Sensitive actions with no human review
  • Success that cannot be defined yet

Disqualifiers are not rejections. They are honest stops that protect the company from a misleading pilot.

Exclusions

Not included automatically

  • Core system migration
  • Production integration
  • A second workflow in the same engagement
  • Data, providers, or tools the company has not approved

Anything beyond one reviewed workflow becomes a new scope, agreed separately with the company.

Cost drivers and estimation

Conditional cost drivers, and an honest estimation process

What drives cost

  • Process scope

    How many steps, roles, and variations the workflow covers.

  • Data condition

    Format, quality, access, and the approvals the data requires.

  • Integration

    What the workflow must read from or write back to.

  • Testing

    The cases, measures, and reviews that were agreed before the run.

How an estimate is made

  • The scope is fixed from the review output, never from a template.
  • Work, outputs, and included third-party costs are itemised in the proposal.
  • No figure is published before costing and owner approval.

Proposed — not taking orders yet.

This page invents no price and no duration; every figure follows the process above.

Non-AI alternatives

Simpler options are compared first

AI is never the default answer. The review compares three kinds of solution and recommends AI only where it wins on the evidence.

OptionConsider whenQuestion to test
SOP or rule automationFormat and rules are stableIs the problem solved without an AI model?
Off-the-shelf softwareA common need is already coveredWhat is the configuration, integration, and running cost?
Custom workflowSpecific needs or limits matterDoes a tested benefit justify the cost and upkeep?

Conceptual comparison only — no cost figures and no vendor claims.

A review output does not automatically add a pilot to the same price or contract.

Acceptance, stop, exit

An engagement that ends on agreed conditions

The engagement is accepted, stopped, or exited on conditions agreed before work starts.

Accepted when

  • The process map, the boundaries, and the decision plan are complete.
  • Every output names its sources and its human reviewer.
  • The company decides the next step: AI pilot, process fix, other tool, or stop.

The review stops when

  • New data or scope appears without an owner decision.
  • A prerequisite disappears.
  • Sensitive actions lack any human review.
  • Success still cannot be defined.

Exit

  • Ownership of the outputs and how they are exported are agreed before implementation.
  • Ending the engagement keeps the reviewed outputs with the company and records the reason.

Stop and exit are rights, not penalties: the company stays in charge at every point.

Direction catalogue

Four capabilities behind a review

Four capabilities are designed around the single-workflow review. Each one only supports the offer once it is tested for its own scope, and every card states where it stands today: the planned state, nothing more.

  • concept design

    AI Business Infrastructure

    One operational document flow becomes a structured, review-ready record draft.

    Input: a valid document format sample. Output: a structured draft with source references.

    Stage
    concept design
    Availability
    not offered
    Proof
    design illustration
    Read the capability page

  • concept design

    Customer Growth Engine

    Reasoned customer recommendations from permitted data, for human review.

    Input: synthetic data with eligibility and suppression. Output: recommendations with reasons.

    Stage
    concept design
    Availability
    not offered
    Proof
    design illustration
    Read the capability page

  • concept design

    Super Studio

    Learn and design creative production workflows in one studio: Academy and Workspace together, from idea and script to assets, editing, and review of the result. Guided and Pro are the same product.

    Input: brief, licensed assets, and brand guardrails. Output: asset drafts with revisions for review.

    Stage
    concept design
    Availability
    not offered
    Proof
    design illustration
    Read the capability page

  • concept design

    AI Decision Analysis

    Sourced memos for AI-related decisions: facts, assumptions, options, risks, and escalation.

    Input: a locked source pack and a question. Output: a memo with references and limits.

    Stage
    concept design
    Availability
    not offered
    Proof
    design illustration
    Read the capability page

All four stand at the same planned state: concept design, not offered, illustration only. None is live, none is a finished product, and none takes orders.

Direction pages only: the copy describes design intent, every preview on this site is synthetic or anonymized, and nothing here names a real company, a real record, or a real result. People review and approve every next step.

Local preview

Try the sample brief builder

The private consultation preview runs entirely on this site: three local, rule-based questions about one real operational problem produce a brief you can review and edit in ephemeral in-tab memory. It does not contact Halsamer. Clipboard/download only on explicit user action; browser restore/session behavior is outside page control.

Open the sample brief builder

Local preview only: rule-based and no AI model runs; no answer/form submission or contact occurs; form answers exist only in ephemeral in-tab memory and are not sent to Halsamer. Clipboard/download only on explicit user action; browser restore/session behavior is outside page control.