July 2026
Three platform breakthroughs.
DigitalStack has evolved into an AI-native operating system for software delivery. This release introduces three capabilities that work together to transform how agencies sell, deliver, and continuously improve digital projects.
Your projects already know the answers.
DigitalStack understands your entire delivery organization: commitments, sprint history, risks, architecture, milestones, and engineering context. So your AI builds, plans, and decides with the full picture, not a blank slate.
AI-Powered Engineering
Spend less time preparing the work. More time building it.
Stop explaining your project to AI.
Same prompt. Two very different experiences.
AI already knows your project.
Traditional AI knows programming.
DigitalStack AI knows your organization.
Connect Claude and other MCP-compatible AI clients directly to DigitalStack, and generate implementation-ready code, requirements, technical designs, acceptance criteria, testing strategies, and engineering documentation using your organization’s real project context.
The AI you already use
The DigitalStack MCP Server securely connects Claude and other MCP-compatible clients to your delivery context, over the industry-standard Model Context Protocol.
Now your AI understands
And produces complete engineering work
DigitalStack doesn’t replace Claude. It makes Claude dramatically more capable.
Turn a rough idea into an implementation-ready work item in seconds.
This is the work an architect, a project manager, and a senior engineer normally do before anyone writes code. Describe the outcome, and DigitalStack produces the whole package from your own project, so your team starts implementation-ready instead of staring at a blank editor.
AI does the drafting. Your team approves, publishes, and stays in control.
AI shouldn’t just write code.
Most engineering effort happens before development begins. DigitalStack generates the planning, documentation, technical design, testing strategy, and implementation guidance around the code, so the distance from idea to production collapses.
Your developer starts reviewing, instead of documenting.
Ask anything about your delivery.
This isn’t a chatbot. Every answer is drawn from your commitments, delivery history, and architecture, rendered as a live view you can trace to its source.
2 commitments at risk
2 of 34Multi-currency support pending amendment · SLA commitment on the next release slipping
Four workspaces. One flow: context, then action.
Build, Planning, Review, and Milestone. Each assembles the right context, then lets AI do the work.
Pull request summary generated
Your day, briefed before your coffee’s cool.
One narrated read across your whole portfolio: what moved overnight and what needs you first.
Good morning. Two projects need your attention today.
Two customer commitments require attention today.
Sprint 31 lost velocity yesterday. Commitment churn is up.
Platform Services has one open blocker waiting on you.
You have six approvals queued and three replies owed.
Next release confidence rose to 74% as two blockers cleared.
Manage the promises you sold, not documents you forget.
Today sales writes the proposal, project managers rebuild it, engineering rebuilds it again, and executives rebuild the status report. Every handoff loses a little truth. DigitalStack keeps the commitment you sold alive from proposal through delivery, acceptance, and every customer update in between.
Traditional agency workflow
DigitalStack
Execution Intelligence
Know where delivery is heading before the sprint ends.
Know why a sprint is slipping, not just that it is.
Every day is an immutable snapshot. Scrub the timeline and see exactly where scope crept, health dipped, and the forecast turned, evidence you can act on before a deadline is missed.
Recommendations, risks, and forecast recompute at every snapshot, automatically, every night.
Your entire day, decided for you.
What needs you, what’s waiting, what to reply to. Then the AI drafts the response, syncs it to your source of record, and closes the loop.
Are the failed payment webhooks going to retry automatically, or do we need to replay them manually?
…
No explanation neededthe reply is written, sent, and reconciled.
One intelligence layer.
Any execution source.
DigitalStack includes a complete native work management experience, and connects deeply to Jira for teams already there. Whichever you use, the same intelligence layer sits on top. No forced migration, no new workflow.
Jira shown as the connected source. Teams working natively in DigitalStack get the same intelligence layer, with nothing to migrate.
Every project makes the next one faster.
When a project finishes, its architecture, decisions, patterns, and lessons are captured and published back into the Context Engine. The next project doesn’t start from a blank page. It starts from everything your organization has already learned.
The next project already knows
Every project becomes an asset, not just completed work.
One platform. Three breakthroughs.
AI-Powered Engineering, the Living SOW, and Execution Intelligence aren’t isolated modules. Each one continuously reinforces the other two.
By the numbers
One month. A different platform.
The future of software delivery isn’t more dashboards.
It’s software that understands your work.