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Software Delivery Management Features

These software delivery management features start with one request written in everyday language. Business and IT review it together, ask the missing questions, estimate the work on both sides, and decide whether it should move forward.

Software delivery management from request to release

Start with one request. Let IT review it early, ask the missing questions, estimate the business and technical work, and decide whether it should move forward before anyone starts building.

Software request
Early IT review
Decide how much follow-up is needed
Answer the questions
Business + IT estimates
Investment approval
Delivery
Outcome review

Software delivery management benefits

The point is not more process. It is fewer surprises once people start building.

  • IT reviews the request early, before anyone promises a project
  • Answer guided questions instead of weeks of meetings
  • Estimates based on those answers — not a rushed kickoff
  • The tester sees the same shared record the business user created at the start
  • Decide whether to investigate, then separately whether to build

How the software delivery management workflow works

First, decide whether the request needs more investigation. Later, after the questions and both estimates are in, decide whether to fund the build.

  1. 1

    Capture one shared request

    The person closest to the work explains the idea in everyday language. No project jargon or solution design is required.

  2. 2

    Let IT review the request early

    Someone from IT confirms which systems are involved, flags extra reviews when needed, and recommends how much follow-up the request deserves.

  3. 3

    Ask the right amount of follow-up

    A reviewer records whether the request is ready for more questions or needs another path. Then the team answers the questions that fit that request.

  4. 4

    Estimate both sides

    The department sizes training, process change, adoption, and operational work. IT sizes the technical change. Both estimates remain visible.

  5. 5

    Decide whether to build

    Leaders approve, defer, or reject the work after the questions and both estimates. Saying the request is ready for more questions is not the same as approving the build.

  6. 6

    Deliver and verify the outcome

    Approved work moves into planning, testing, release, and outcome review without rewriting the original request into a disconnected ticket.

Explore the jobs Foundry helps with

Features is the hub. Each linked page goes deeper on one part of software delivery—pick the problem that matches what you are trying to solve.

Turn an idea into a clear plan

One place from the software request through release.

Turn an idea into a clear plan

Keep requests connected to delivery

Keep the original request, agreed details, team work, testing, and release together.

Keep requests connected to delivery

Handle every stage in one place

Run every software stage in one product—not an office suite.

Handle every stage in one place

Run approved software work with the team

Run approved software work—not a campaign board.

Run approved software work with the team

Start a software request in plain language

Capture a complete software request in everyday language.

Start a software request in plain language

Ask the right questions before building

Ask project-specific questions and keep every answer reviewable.

Ask the right questions before building

Plan the work before the first release

Sequence the work and check readiness before the first release starts.

Plan the work before the first release

Decide what should move first

Make budget and capacity tradeoffs visible before you commit.

Decide what should move first

Collect and review software requests

Collect software requests, review them once, and record the decision.

Collect and review software requests

See both sides of the work before saying yes

Pair the business estimate with the IT estimate before the yes.

See both sides of the work before saying yes

Use AI to draft follow-up questions

AI drafts the questions. Reviewers keep the answers honest.

Use AI to draft follow-up questions

Intake built only for software change

The established intake category—built only for software change.

Intake built only for software change

The department-to-IT front door

The department-to-IT front door for a software change.

The department-to-IT front door

Review requests before they reach Jira

A review step in front of Jira—not another Jira form.

Review requests before they reach Jira

Compare AI tools that stay reviewable

A comparison of AI requirements tools that stay reviewable.

Compare AI tools that stay reviewable

Requirements tools for smaller teams

Requirements software sized for teams without a project office.

Requirements tools for smaller teams

Manage requirements without enterprise ALM

The G2 category, without the regulated-ALM assumption.

Manage requirements without enterprise ALM

Tools that connect request to release

Compare tools by where the work starts and what stays connected.

Tools that connect request to release

Delivery management for smaller teams

One understandable request-to-release path for teams without a project office.

Delivery management for smaller teams

Clarify requests and decide what to fund

The Plain-English Question Box

Stakeholders describe what’s broken in their own words. Capture the problem, the people affected, and why it matters — not a Gantt chart or a feature wishlist.

Let IT review the request early

Bring IT in before the request is treated as a project. Confirm affected systems, flag additional reviews, and recommend how much follow-up the request deserves.

  • Ask the full set of questions — Standard Discovery
  • Ask only the essential questions — Lightweight Discovery
  • Check whether an existing tool already solves it — Existing Solution Review
  • Recognize that it belongs outside the IT-project process — Not an IT Project

Additional technical reviews

  • Security
  • Vendor
  • Data
  • Architecture

AI that asks useful questions

Not another chatbot. Follow-ups that help everyone understand the request before time and money get committed.

Estimate both sides of the work

Estimate the business and technical work separately before anyone starts coding. Training and rollout sit next to the build estimate in plain text.

Real-world example

One software request. Two estimates. One informed decision.

A nonprofit wants to replace emailed client-intake PDFs with an online portal. Business and IT estimate the same first-release boundary before leadership can approve it.

Business Effort
  • 160 staff hours · 6–8 weeks
  • 12 people · Medium change impact
  • Staff time, training, communication, process changes, data work, compliance review, and launch support
  • $4,500 in non-technical cost
Technical Effort
  • M — Medium · 120–400 hour range · 3 estimate points
  • 320 estimated hours · 2–3 months
  • Medium complexity · Medium confidence
  • Frontend, Backend, Database, QA, and Security
  • Recommendation: Reduce Scope
Decision: approve a smaller first release

Approve staff submission and review first. Move applicant self-service and SMS notifications to a later release until the CRM and document-retention questions are resolved.

Approval does not open until both estimates are submitted. Precision Foundry shows them together without combining them into an artificial score; a person makes the final decision.

Decide whether to investigate, then whether to build

One decision says whether the request needs more questions. A later decision, after those answers and both estimates, says whether the team should commit to building it.

What to do next

Approved work does not all start at once. Rank what should move first when capacity is limited.

Keep the plan connected through delivery

Give the delivery team a clear plan

After a decision, pass a clear, agreed plan to the people who build — without rewriting the request into a new dialect.

Shared definition of done

Everyone can see what “finished” means before development starts — and testers verify that same shared record, not a rewritten ticket.

One place for delivery work

Keep the plan connected as it moves from approved idea into stories, tasks, and progress.

Technical Design

Document architecture, integrations, APIs, data models, and important implementation decisions before development begins.

See how information moves

Document where important information begins, how it moves between systems, what happens at each step, and who receives it. Give delivery teams shared context for requirements, integration changes, technical design, and testing.

Business Object → Source → Processing Steps → Destination → Owner

For example: a customer address begins in the customer portal, passes through the CRM, updates billing, and reaches a shipping provider.

Make sure the team is ready to build

An approved project is not automatically ready for developers to begin. Confirm that the delivery team has a buildable plan before work moves into Development—instead of resolving missing decisions during the first sprint.

Worth doing → Approved to proceed → Ready to develop

Ready-to-develop checks

  • Approved scope and completed delivery planning
  • Completed requirements with approved epics, stories, and acceptance criteria
  • Defined, estimated, and approved tasks
  • Confirmed delivery-team ownership
  • Technical design approved or marked not required

Testing

Coordinate QA, user acceptance, validation evidence, and readiness on the same shared record the business user created at the start.

Track and fix live problems

Track production defects, incidents, and operational problems from report through resolution. Use AI-assisted analysis and guided questions to clarify the problem, obtain approval, assign delivery work, and test the resolution on the same record.

Report → Analyze → Clarify → Approve → Assign → Test → Resolve

Release

Coordinate release readiness, deployment plans, communications, production handoff, and release evidence on the same delivery record.

Testing passed → Release ready → Deploy → Communicate → Production handoff

Collaboration and AI for everyday teams

Built for everyday users

If you know your job, you can use it. Screens and prompts stay in plain language on purpose.

The right people, the right work

Business and technical roles each focus on what they own — without drowning in someone else’s screens.

Honest AI pricing

See AI use in dollars, with included budgets on each plan — no mystery token math.

See decisions, blockers, and progress

See what needs a decision, what is ready to move, what is blocked, and how software work is progressing—without asking teams to build another status deck. See portfolio health, estimate coverage, approval queues, recorded project value, delivery progress, sprint status, production issue trends, and AI cost calculated from usage. Leaders can open the supporting detail without chasing spreadsheets, slide decks, or manual status reports. Recorded project value is the value case captured with the work, not realized financial return.

Request → Estimates → Approval → Delivery → Testing → Results

These reports draw from work already captured along that path. Not every stage currently has its own report.

What you can see

  • Portfolio health
  • Estimates and approvals
  • Project value
  • Delivery progress
  • Sprint progress
  • Issue trends
  • AI usage and calculated cost

Questions these reports help answer

  • What needs a decision?
  • Which requests are missing estimates?
  • What delivery work is blocked?
  • What production issues need attention?

AI data and human review

Know what AI sees—and who makes the decision

When you choose an AI-assisted feature, relevant workspace context may be sent through the OpenAI API. Precision Foundry sends supported requests with store: false and does not opt in to model training through the application. AI output remains a draft until a person reviews and approves it.

  • Feature-specific context may be sent when you choose an AI helper.
  • Full prompts and outputs are omitted from the AI usage ledger.
  • AI does not approve projects, commit funding, or make final decisions.
Read the complete AI Data Disclosure

Not looking for software delivery management?

Marketing campaigns, events, and standard office workflows need a general team tracker—not Foundry’s intake, estimates, and delivery plan. If that is your work, this is the wrong tool.

non-technical projects

Run delivery in Foundry—or keep Jira where engineering requires it

Foundry always handles the software request, discovery, both estimates, and the decision. After the yes, choose where delivery work should live.

Run delivery in Foundry

Keep requirements, stories, tasks, sprints, testing, and the original business request on one record. No Jira handoff is needed.

Keep development work in Jira

Review and approve the request in Foundry, then create one Jira Epic for the approved delivery record and paste its stable Foundry link into the Epic. Engineering can derive and manage child stories and tasks in Jira; each child item does not need a separate link.

Precision Foundry does not currently provide native or bidirectional Jira synchronization. Using the products together means choosing where each part of the work is kept. It does not mean they synchronize automatically. The handoff is manual at the Epic level.

The best way to see it is to try it

Request Private Alpha access. If approved, choose Starter, Professional, or Team and receive 30 complimentary days with no payment method required.