Extend your team’s capabilities.
Email triage and reply drafts, call follow-up, scheduling, data entry and invoicing. We build workflows around your team’s responsibilities and review points.
A CONNECTED WORKFLOW
From information
to useful action.
Capture
Bring together the right information.
Understand
Organize context and key details.
Automate
Complete defined tasks, with review.
Grow
Put new capacity to work.
PRACTICAL SYSTEMS. ONGOING SUPPORT.
Practical AI.
Built around your business.
Bring your information together.
Connect existing software and organize paper and digital records. Make it easier to see costs, margins, payroll, purchasing and inventory in one useful view.
Pursue the right opportunities.
Support bids, estimates, proposals, customer outreach, marketing strategy and content creation. Explore social media and brand/design support, with branded apparel, uniforms and promotional products available as optional service interests.
Make AI part of how you work.
Deploy agents with defined tasks, relevant business context and appropriate memory. Connect approved records, test outputs on real examples, and train your staff to use and improve the workflows.
DEFINED TASKS. CONNECTED SYSTEMS. CLEAR OVERSIGHT.
From a request to a completed workflow.
An example we can build: an inquiry arrives, an agent gathers the relevant records and prepares a response or estimate. Your team reviews and approves it. The workflow then sends the approved message, updates the record and tracks the next action.
We define the scope, permissions, completion criteria and exception handling before implementation. When information is missing or a decision needs judgment, the work goes back to a person.
A CLEAR PATH FROM HERE
Assess. Build.
Train. Improve.
- 01
Assess
We map the work, the people and the systems. Together, we choose a focused first project and define what improvement would look like.
- 02
Build
We build and deploy agents around your existing tools, approved records and workflows. We define their context, memory, permissions and human review points, then test the outputs.
- 03
Train
Your team practices with relevant examples from your business, learns to maintain useful context, handle exceptions and know when to step in.
- 04
Improve
We stay involved to maintain the workflows, review performance and prioritize the next useful improvement.
The first conversation is about your business. A scoped recommendation comes after we understand the work, access requirements and baseline.
EXPLORE YOUR NUMBERS · ILLUSTRATIVE SCENARIO
Same team.
Explore more capacity.
Start with an ambitious 10× task-speed example, then adjust what work is in scope and how quickly your team adopts it. Revenue depends separately on how much additional work you can sell and deliver.
Starting example: 15 people · $3M revenue · 10× task speed. Assumptions, not measured results.
Actual headcount15unchanged in this scenario
Output capacity at month 24150current-person output equivalents
Effective output multiplier10×100% rollout adoption
Today: 15 people · $3,000,000 annual revenue. Month 24: 150 modeled output equivalents.
Your 15 people would have the modeled output capacity of 150 people working at today’s pace. That is 135 additional output equivalents, not new hires, job replacements or validated delivery capacity.
Today’s workload uses an assumed 600 team hours/week. At this scenario’s month 24 pace, the same workload would take 60 hours, leaving about 540 hours to reallocate. Quality, review and delivery constraints still need validation.
Full-job 10× thought experiment. At full adoption, 15 people × 10 = 150 output equivalents. This assumes every part of the work cycle becomes ten times faster at unchanged quality, with no new bottlenecks. This is a deliberately ambitious assumption, not a promise or measured outcome. Narrow the work scope to see how that changes the whole-team result.
Modeled output capacity · current-person equivalents
The line starts at your current team’s capacity. It rises during deployment, then levels off when this assumed rollout is complete. Further growth needs additional changes; a one-time 10× gain is not compounded every month.
- Define the work100% of baseline time is in scope.
- Deploy and adopt100% of that scope is adopted by month 24.
- Shorten the cycleAt 10× task speed, the complete cycle needs 10% of its original time.
- Use the capacityPursue more bids, jobs or service work, subject to demand and delivery constraints.
OPTIONAL REVENUE SCENARIO · NOT A FORECAST
Current annual revenue$3,000,000
Illustrative annual revenue at month 24$9,750,000
$3,000,000 baseline × [1 + 25% × (10 − 1)]. This assumes 25% of additional capacity is sold and delivered at unchanged pricing and work mix.
Annualized revenue is not cumulative sales, collected cash or profit. Demand, qualified leads, bid win rates, staffing, physical delivery capacity and working capital must support the work. A larger output estimate does not create sales.
See the math and monthly values
Adoption a(t) = min(t ÷ rollout months, 1). Let s be the affected share of baseline work time and m the task-speed assumption.
Whole-cycle multiplier M(t) = 1 ÷ [1 − s × a(t) + s × a(t) ÷ m]. Output equivalents = employees × M(t).
Optional annualized revenue R(t) = baseline revenue × [1 + q × (M(t) − 1)], where q is the additional-capacity share sold and delivered. This is a one-time efficiency change phased in over adoption, not a gain compounded again every month.
| Month | Adoption | Output equivalents | Annualized revenue |
|---|---|---|---|
| 0 | 0% | 15 | $3,000,000 |
| 1 | 4% | 15.58 | $3,029,221 |
| 2 | 8% | 16.22 | $3,060,811 |
| 3 | 13% | 16.9 | $3,095,070 |
| 4 | 17% | 17.65 | $3,132,353 |
| 5 | 21% | 18.46 | $3,173,077 |
| 6 | 25% | 19.35 | $3,217,742 |
| 7 | 29% | 20.34 | $3,266,949 |
| 8 | 33% | 21.43 | $3,321,429 |
| 9 | 38% | 22.64 | $3,382,075 |
| 10 | 42% | 24 | $3,450,000 |
| 11 | 46% | 25.53 | $3,526,596 |
| 12 | 50% | 27.27 | $3,613,636 |
| 13 | 54% | 29.27 | $3,713,415 |
| 14 | 58% | 31.58 | $3,828,947 |
| 15 | 63% | 34.29 | $3,964,286 |
| 16 | 67% | 37.5 | $4,125,000 |
| 17 | 71% | 41.38 | $4,318,966 |
| 18 | 75% | 46.15 | $4,557,692 |
| 19 | 79% | 52.17 | $4,858,696 |
| 20 | 83% | 60 | $5,250,000 |
| 21 | 88% | 70.59 | $5,779,412 |
| 22 | 92% | 85.71 | $6,535,714 |
| 23 | 96% | 109.09 | $7,704,545 |
| 24 | 100% | 150 | $9,750,000 |
Explore an assumption, then validate it. This simplified model assumes comparable work, constant quality, reusable freed time, and no new bottlenecks. Actual headcount and payroll stay unchanged in the scenario; AI software, implementation, training and ongoing support still cost money. It does not estimate profit or savings. A tailored playbook should test the baseline, workflow scope, margins, demand, delivery capacity and funding before setting realistic, target and stretch outcomes. Start with your business snapshot.
What’s next for your business?
Complete your snapshot so LINY AI can prepare a tailored AI opportunity brief before your conversation.