Project estimation workflow for Tallyfy

Build estimates you can actually defend

Estimates fail when assumptions are unclear, scope is incomplete, or nobody reviews the numbers. This template walks estimators through a rigorous process - from agreeing on ground rules to peer review - so your estimates hold up when challenged.

6 steps

Run this workflow in Tallyfy with people, AI, and conditions

Estimates Run #2,481 Running now
Status Step Assignee Deadline
Status: Completed

1. Agree on estimating basis

TM
Team member
Status: Active

2. Collect scope documentation

Claude
AI agent
Status: Waiting

3. Estimate direct costs

TM
Team member
Status: Conditional

4. Estimate indirect costs and apply adjustments

Claude
AI agent
+ 2 more steps below

Tallyfy is the accountability layer that lets this template mix people, AI agents, and conditions in one auditable flow

Process steps

1

Agree on estimating basis

5 days from previous step
task
Before anyone starts crunching numbers, get the team on the same page about ground rules. What's the confidence level you're aiming for? Are you doing a rough ballpark or a detailed bottom-up estimate? What are your assumptions on labor rates, material costs, and timeline? Write these decisions down now - they'll save a lot of back-and-forth later when someone questions why the numbers came in higher than they expected.
2

Collect scope documentation

5 days from previous step
task
Round up everything that defines what you're estimating - specs, drawings, requirements docs, statements of work, all of it. Incomplete scope is the #1 reason estimates blow up later, so don't skip this. If something's unclear, flag it right away and get answers. Anything you can't get a clear answer on should become a documented assumption, not a guess you hope works out.
3

Estimate direct costs

5 days from previous step
task
Now it's time to work out the core costs - labor hours, materials, equipment, subcontractors. Pull from historical data on similar projects whenever you can. Break things down far enough that you can actually back up each number if someone asks. If you're not sure about something, note the uncertainty level. Direct costs are your foundation here - if these are off, everything built on top of them won't hold up either.
4

Estimate indirect costs and apply adjustments

5 days from previous step
task
Layer in the overhead, contingency, and escalation factors. Don't forget indirect costs like project management, quality control, and admin support. If the project runs over several months or years, apply inflation or indexation too. And you'll want a risk contingency buffer - ask yourself how confident you really are in those direct cost numbers. These factors typically add 30-50% to your base estimate, so they're not something you can brush off.
5

Peer review

5 days from previous step
task
Get another estimator or subject matter expert to look over your work. Fresh eyes will catch errors and shaky assumptions you've gone blind to. They should check your methodology, verify the math, and push back on any numbers that don't look right. Write down their feedback and how you responded to it. A solid peer review can save you from an embarrassing cost overrun or an underbid that eats your margin.
6

Finalize and submit for approval

5 days from previous step
task
Pull everything together into a clear basis-of-estimate report. Include your assumptions, methodology, data sources, and how confident you are in the numbers. Make it easy for whoever's approving it to follow your logic. Route it to the right approvers based on the estimate size and your company's thresholds. Be ready to walk through your numbers - if you've documented things well, that conversation will be a lot smoother.

Why Tallyfy is the AI control layer

Phase 1

Set up

Define the recipe
1
Define process steps
You can't automate without a recipe.
2
Set deadlines and conditions
AI needs structure.
3
Assign each step
Person, AI, or rule. The right doer.
Phase 2

Run

People + AI working together
4
Launch
One click. No glue code.
5
AI handles routine tasks
Fewer mistakes and hallucinations.
6
People approve
Accountability. You can't blame AI.
Phase 3

Track and improve

Audit and learn
7
Track real-time status
AI sessions are a nightmare to track alone.
8
Audit and improve
Gradual shift, never total re-do.

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