Tempo

Intelligent Portfolio Orchestration for the AI enterprise | Ambition, Delivered | Atlassian Platinum Partner | 30,000+ organizations

[Tempo @TempoHQ]

The workforce changed. Most tools haven't.

Half your workforce is now AI. Invisible to most portfolio tools.

Intelligent Portfolio Orchestration changes that. That's Loop.

Launched today.

Book a demo here: https://t.co/VF2HOzIJLJ

[Tempo @TempoHQ]

This Veterans Day, we’re celebrating Sofai Lindsey, an Air Force veteran who turned scattered onboarding know-how into one source of truth. Swipe to meet her. #TeamTempo

[Tempo @TempoHQ]

Priorities change Monday. How long until everyone follows?

Leadership changes direction on Monday morning. How long before the whole organization is working on the new priority?

Victor Chynoweth, our CEO, on what Loop changes: the shift reaches every affected team, every person, every agent. The organization pivots as one.

Ready to stop chasing status? Learn more at https://t.co/a8gVilpmEB

#TempoLoop #IntelligentPortfolioOrchestration #Leadership #StrategyExecution #AI

[Nikki Siapno @NikkiSiapno]

𝗠𝗖𝗣 𝘃𝘀 𝗥𝗔𝗚 𝘃𝘀 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀.

𝗠𝗖𝗣 is the connection layer. It gives AI systems a standard way to connect to external systems and capabilities. MCP servers expose tools for querying databases, calling APIs, or taking actions, without requiring custom integrations for every client. But it handles connectivity, not retrieval.

That's where 𝗥𝗔𝗚 comes in. It searches your docs at query time, pulling relevant chunks into the prompt so answers can draw from your data. Keeping it current means updating an index, not retraining the model. In a basic RAG pipeline, the flow is straightforward: retrieve, then answer.

Now with 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀, the model runs in a loop: plan a step, call a tool, read the result, repeat until the goal is met. That handles multi-step tasks, at the cost of more latency, tokens, and failure points.

So the choice comes down to the gap you're closing: access to systems, knowledge from your data, or action over many steps.

But executing a task successfully doesn't necessarily mean it's still the right task.

Priorities shift, budgets change, and teams move between projects. Both humans and AI agents can keep executing work that no longer aligns with the bigger plan.

The problem is that strategy, capacity, spend, and execution data often live in different systems. By the time a quarterly review reveals the gap between plan and reality, time and budget have already been spent.

Catching that drift early means continuously connecting what was planned with the work actually happening, across both human teams and AI agents.

Tempo Loop brings together time, capacity, spend, and execution data in one unified view across human and AI-agent work.

It answers a simple question without chasing status updates: Are we still working on the right things?

When something drifts, Loop identifies the gap, recommends corrective actions with tradeoff context, and orchestrates approved changes back into the systems teams already use, like Jira.

𝗔𝗴𝗲𝗻𝘁𝘀 𝗹𝗼𝗼𝗽 𝗼𝗻 𝘁𝗮𝘀𝗸𝘀. 𝗧𝗵𝗶𝘀 𝗼𝗻𝗲 𝗹𝗼𝗼𝗽𝘀 𝗼𝗻 𝗽𝗿𝗶𝗼𝗿𝗶𝘁𝗶𝗲𝘀.

𝗦𝗲𝗲 𝗵𝗼𝘄 𝗧𝗲𝗺𝗽𝗼 𝗟𝗼𝗼𝗽 𝘄𝗼𝗿𝗸𝘀 → https://t.co/gG53bFKIYa

What else would you add?

——

♻️ Repost to help others learn AI.
🙏 Thanks to @TempoHQ for sponsoring this post.
➕ Follow me ( Nikki Siapno ) to improve at AI and system design.

[Tempo @TempoHQ]

AI adoption is easy to announce. Proving it delivers value is harder.

Our team recently spent time at the Mood AI Summit in Barcelona with enterprise leaders from across Catalonia. A question kept coming up: what is AI actually changing in the business?

Jose Gil Esono and Isabela Aranguren took the stage and walked the room through Workforce Intelligence and Loop, the layer that connects AI spend and execution to outcomes. Together with Atlassian and knowmad mood, we spent the summit on that question.

Learn more about Workforce Intelligence and Loop at https://t.co/HaBf0pLzOw.

#AI #StrategicPortfolioManagement #WorkforceIntelligence

[Tempo @TempoHQ]

Happy #InternationalProjectManagementDay! PMO leaders plan capacity, catch risk early, and turn status updates into decisions. Lauren Smith, our vice president of the project management office (PMO), shows how they're using AI in 2026. Watch the webinar: https://t.co/TfXQOqt9WM

#PMO #ProjectManagement

[Tempo @TempoHQ]

Customer relationships get stronger with time. Larisa, one of our Customer Success Managers, shows how. She started over in a new field midway through her career. Swipe to meet her. #TeamTempo

[Tempo @TempoHQ]

Your team shouldn't have to leave Jira to log time. A European IT services company made Jira its single source of truth with Timesheets and Structure PPM. Read the story: https://t.co/d8mNUirPSu

[Tempo @TempoHQ]

AI makes individual work faster. It can also mean your portfolio hits the same bottlenecks sooner.

Andy Jordan on Nov 17 at 11am EST breaks down what separates portfolios that deliver from the ones that stall. Register: https://t.co/8jENifdvo7

#PortfolioManagement #AIatWork

[Tempo @TempoHQ]

Where does your AI spend go? Paul Lechner, our VP of Product, shares how we found the gap at @forrester's Technology & Innovation Forum East, Nov 5, 11:45 am ET. Come say hi to the Tempo team at booth 2. We’re proud to be a gold sponsor.

#ForrTech

[Tempo @TempoHQ]

Thanks to everyone who stopped by the #PMI Global Summit to see Tempo! Great hearing Vic Chynoweth and Mashhood Ahmed on The Evolved PMO. Congrats to our raffle winners! Keep the conversation going: what's changing in your PMO?

[Tempo @TempoHQ]

Jira doesn't stop anyone from editing a time entry after the fact. One global team built audit-ready approvals for client billing.
Read how they run it: https://t.co/coX5KYVFjU

#Jira #ProjectManagement

[Tempo @TempoHQ]

Epics and Stories are great to start … but to really scale, you'll need to connect them to strategy & cost.

Michiko Quinones, Practice Lead for SPM at @praecipio, is our next Maestro. She connects work to goals and builds portfolios that report cleanly to Finance.

[Tempo @TempoHQ]

We heard there were a few booths giving away socks at the Gartner IT Symposium in Orlando, FL this week. Be sure to stop by the Tempo booth 727 to chat with our team and pick up some swag!

[Tempo @TempoHQ]

Are you at TechEx in Amsterdam? Comes find us at Booth 270.

It's the final day and we've got scintillating new solutions to show, and some our finest Tempo experts ready to have a chat about tracking AI spend, portfolio orchestration, and the best lunch spot in Amsterdam.

[Tempo @TempoHQ]

This week Tempo is in Amsterdam, Orlando and Detroit, for AI leaders, CIOs and PMO leaders. Catch our CC&AIO, CPO and CEO. Attending? Drop a comment and stop by our booth.

#AI #PMO #ITLeadership

[Tempo @TempoHQ]

AI makes everything faster. That doesn’t mean better. Join Andy Jordan and Rachel Hentges from Tempo on Oct 21 to see what’s keeping portfolio delivery from matching AI ambition. Register: https://t.co/vbplYQoxRO

[Tempo @TempoHQ]

Gartner IT Symposium/Xpo starts Monday. Join our CPO Kevin Nanney’s roundtable, “The resourcing call your operating model can’t see yet,” Oct 21, 3:15 – 4:00 pm EDT, Lark 1, Swan Hotel.

Then stop by booth 727 and say hi. #GartnerSYM

[Tempo @TempoHQ]

AI spend is climbing. Most leaders can’t say what it delivered.

Oct 22: a live demo of Workforce Intelligence, tracing every AI dollar to the Jira work item, epic, and objective it supported.

Save your seat: https://t.co/4Vwd73V6Rb

[Tempo @TempoHQ]

The PMO was built to manage people. Now AI works alongside them.

Join our CEO Vic Chynoweth and Mashhood Ahmed of M1 Consultants at #PMIGlobalSummit on Thu, Oct 22, 1:15 PM EDT for The Evolved PMO. Then visit booth 413 for a demo.

[Tempo @TempoHQ]

91% of PMO teams are piloting or using AI. Proving it’s paying off is the hard part.

Join our live panel tomorrow (Oct 14, 11am EDT) with @Eficode, @IsosTech, @Adaptavist, & @TempoHQ. Live polls, live Q&A, and new data from 300+ leaders.

Save your seat: https://t.co/xKsfVhSe7O