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Leadership can't trust what Jira is telling them.

Fixing this usually takes a team: one person to diagnose it, one to rebuild the workflows, one to brief your leadership. Every handoff drops context, and you're the one who fills the gaps. I've done all three jobs over 20 years. You explain the problem once.

20 years in Fortune 500 delivery · Insurance, banking, and pharma · Independent, no license commissions

What happens when one Jira instance behaves like six, and half your teams aren't in it?

Most large enterprises don't have a Jira problem. Every team built its own workflows, fields, and definition of done, and Jira faithfully reflects all of it. The teams that never moved in report from spreadsheets instead. Getting everyone into Jira is the right end state, and it's a multi-year political fight. You shouldn't have to win it before your numbers can be trusted.

Leadership is flying blind

Someone compiles status by hand from projects that don't share a taxonomy. Two portfolios reporting the same metric rarely agree on what it means. By the time the deck is ready, the numbers are already stale.

Portfolios that don't talk to each other

Each vertical governs itself. "In progress" means one thing here and another thing there. Cross-portfolio rollups require manual translation, so they mostly don't happen, and leadership stops asking.

AI initiatives stalling on dirty data

Inconsistent fields and stale updates feed AI garbage. You cannot turn on portfolio-level insight, or Atlassian's Strategy Collection, on a foundation that was never governed in the first place.

The readiness wedge

Fix the foundation before you buy more tooling, not before you start the work.

Before you commit $200K+ to enterprise tooling like Atlassian's Strategy Collection, the honest question is whether your Jira foundation is clean enough to support it. That foundation work doesn't have to happen as a separate phase before anything gets built. I do it inside the implementation: we standardize only what the new tooling actually needs, team by team, as they connect. Nobody has to adopt a governance program first, just to get me in the room.

Independent, by design

I don't sell licenses and I don't take implementation commissions. No reseller quota. No Solution Partner upsell. When I tell you the foundation is ready, or that it isn't, there is no product riding on the answer. That neutrality is the whole point.

What this looks like at scale

From hand-built status decks to a program view leadership trusted

At a Fortune 500 bank, I ran the process layer for a twelve-team agile release train, more than eighty people delivering across one program. Every team moved onto a shared workflow and field schema, and risk and status rolled up from Jira into Jira Align, so leadership finally had a program and portfolio view they could trust, instead of one that took a week of manual chasing to compile and was stale by the time it reached the room. I am doing the same kind of work now inside a 90,000-person global enterprise: automation flows running in production, and workflows with control validations that force ticket comments and context to stay current, so an AI agent layer can report real delivery status, risk, and forecast instead of stale guesses.

12
teams standardized on one workflow and field schema
80+
people delivering under a single process layer
1
program view leadership could actually trust

How the work actually starts

The fastest way to know where you stand is to measure it, and I do that measuring inside your instance, not from outside it. Most engagements start with a fixed-scope, hands-on audit, and the findings decide what gets built next, together.

Flagship

Jira Portfolio Build

A shared workflow schema and field standards that survive the next reorg. Automation flows that catch stalled work before it blocks a release. A reporting layer leadership can open cold and trust. Runbooks so your team owns it after I go.

Built, working, and owned by your team.

Jira Portfolio Accuracy Audit

The first two weeks of the build. I assess instance architecture, workflow standardization, field hygiene, automation gaps and AI readiness, then tell you what it means for the thing you asked for. Available on its own if you would rather start with the diagnosis.

Enterprise Readiness Advisory

Fractional and ongoing. A fixed weekly cadence in your tool as you scale: new teams onboarded, new automation shipped, and an honest, hands-on read on tooling before the invoice lands.

20 years

Inside Fortune 500 delivery organizations across insurance, banking, and pharma

Fortune 500

Currently embedded and doing this work at enterprise scale, not describing it from the outside

13,000+

Professionals trained on Jira and delivery systems over more than a decade of teaching

Independent. No license commissions, no implementation upsell, no product riding on what I tell you.

Find out where your foundation stands

Start with the readiness assessment to score your environment across five foundation dimensions and get one readiness score. Or book a call and we will walk through it together.