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ROI for AI

AI gives you hours back. Where you put them decides what you earn.

Hypothetical, illustrative example. Assumptions are shown in the revenue section.

  1. Hours back100 hfreed each month
  2. Useful activity40 hput into new proposals
  3. Sales result5 clients wonfrom 20 extra proposals
  4. Possible profit$15,000gross profit only if all 5 are served, before AI costs

Step 1 · Capacity

One person moves faster. A department frees more hours.

One person

40 h work week

  • Share of workweek freed25%
  • Hours freed per week10 h

Setup

  • Their own tools
  • Their own files
  • Quick to start

Department of 10

10 people × 40 h = 400 h a week

  • Share of workweek freed10%
  • Hours freed per week40 h

Setup

  • Shared data
  • Connected tools
  • Team training
  • Quality checks
  • More time and budget

In this example, the individual may free a bigger share of their week. The department could free four times the hours.

Illustrative values.

Step 2 · Leaders first

Equip the department head first

A lead with AI sees the team's work, coaches sooner and spreads what works. Pilot with the head of the department your assessment selects.

  1. 1. See activity

    Proposals sent this week

    • Rep A6
    • Rep B5
    • Rep C 4 stalled1
  2. 2. Coach and set priority

    Rep C: follow up on the 4 stalled proposals today.

    Whole team: use Rep A's follow-up template.

  3. 3. Same team measure after rollout

    Team proposals sent per week

    • Before12
    • After18

Illustrative values. Team rollout goes smoother once the lead already works this way.

Step 3 · Revenue work

Point freed hours at work that earns

Sales

AI-assisted action
Drafts proposals and follow-ups
Activity measure
Proposals sent, follow-ups done
Business result
New clients and revenue booked

Delivery and service

AI-assisted action
Speeds onboarding and catches rework early
Activity measure
Days to onboard, rework rate
Business result
More work delivered and clients retained

Finance

AI-assisted action
Shows margin by service and staff hours per job
Activity measure
Margin per service, hours per job
Business result
Clearer pricing and staffing decisions

Tracked separately: payment speed, from invoice sent to cash received.

Worked example: Sales

  • 5 reps, 50 proposals a month
  • 4 h → 2 h per proposal
  • 100 h freed
  • 2 h per new proposal
  • 25% close rate
  • $10,000 per client
  • 30% gross margin
  1. 100 hfreed
  2. 40 hput into proposals
  3. 20extra proposals
  4. 5new clients
  5. $50,000booked
  6. $15,000gross profit if all 5 are served
$15,000 gross profitAI setup and running costsNet return

Hypothetical example. Confirm delivery capacity and quality before counting the profit.

Step 4 · Bottlenecks

Fix one area and the bottleneck moves

Before: Delivery unchanged

  • Sales wins5 clients
  • Delivery can start2
  • Waiting3

2 started, 3 waiting

After: Delivery equipped

  • Sales wins5 clients
  • Delivery can start5
  • Waiting0

5 started, 0 waiting

Before sending more work downstream: check delivery capacity, quality and real demand.

Billing, tracked separately: late invoices slow cash. Watch days to payment on their own.

Illustrative values.

Step 5 · Our assessment

How BH Technology assesses

  1. Map where money is madeSales, delivery, service and finance
  2. Read the dataTeam activity plus financials
  3. Pick the first priorityWhat holds back revenue or margin
  4. Equip the lead, then the teamStart with that department's head
  5. Measure the resultOutput, quality, actual cost and margin
  6. ReassessFind the next constraint

Back to step 1 with the next constraint

Find your first priority

We start with the activity that can change a business result.

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