Can your team actually deliver it?
Agencies routinely commit to a deadline before checking whether the team can actually hit it. YesScope closes that gap: paste a real brief, statement of work, or notes from a client call, list who's available and their skills and hours, and a deterministic planning engine works out whether the finish date is Feasible, At risk, or Blocked — before the client signs.
Committing before checking capacity
A deadline is usually agreed on a good feeling, not a calculation. The gaps between promise and capacity only surface once the project is already underway.
- 01
A finish date gets promised before anyone checks it against the team's real daily hours.
- 02
Specialist work — payments, security, accessibility, app-store release — needs a named skill nobody on the team may have.
- 03
Client-review turnaround and holidays are rarely built into the original estimate.
- 04
When a project slips, there's no clear record of which task or skill gap the delay traces back to.
How the YesScope engine operates.
You paste the brief and add each person's skills and daily hours. YesScope turns that into milestones, dependencies, a day-by-day schedule per person, and a verdict you can check line by line — recalculated instantly if you change an estimate.
A real project brief, SOW, or client-call notes, plus the team's skills, hours, and the deadline.
- Deliverables & quantities
- Integrations
- Requirements — facts only
- Skill-based assignment
- Real daily availability
- Client-review turnaround
- Feasible
- At risk
- Blocked — with the exact gap
What it does.
Fact-only brief extraction
AI reads the brief and records only what was actually asked for — deliverables, quantities, integrations — so the same brief produces the same plan every time.
Deterministic scheduling engine
A rules-based engine assigns tasks by skill, respects each person's real daily hours, and waits for client-review turnaround. The AI never assigns people or dates.
A verdict you can check
Feasible, At risk, or Blocked, with the exact skill gap or bottleneck driving the finish date — not just a green checkmark.
Instant what-if repair
When a deadline is missed, YesScope proposes the smallest realistic fix — temporary help, an extra hour a day, a freelancer for a missing skill — and reschedules immediately.
The verdict, in one panel.
Health score, effort, finish date against deadline, and a per-discipline completion breakdown — everything a delivery lead needs before saying yes to a client.
Open a live sample plan
How Softgenix built it.
The engineering decisions that shaped the planner, from extraction to scheduling.
Separating extraction from scheduling
AI is used only to read the brief and record facts. A separate deterministic engine turns those facts into tasks, assignments, and dates, so the output is reproducible rather than regenerated each time.
No-accounts, ephemeral architecture
There are no accounts and nothing is saved. Inputs live in temporary storage only while a plan is generated, and the active planning session expires automatically within 12 hours.
Live recalculation
Editing any task's hours recalculates the schedule, health score, and verdict instantly, without another AI request.
Realistic constraint modeling
The scheduler respects each person's actual daily availability, protects time only a specialist can give, and factors in client-review turnaround before comparing the result to the deadline.
A deadline isn't a good feeling. It's a calculation you can inspect, task by task, day by day.
Want something engineered with the same rigor?
Whether it's a planning tool, an internal system, or a customer-facing product, Softgenix designs and builds it end to end.