SHARED INTELLIGENCE FOR PEOPLE + AGENTS

Make your business smarter with every AI interaction.

XTrace turns your company’s context and the lessons from people and AI agents into shared intelligence. Help teams repeat less work, give agents clearer guidance, and see where human attention makes the biggest difference.

XTrace turns your company’s context and the lessons from people and AI agents into shared intelligence. Help teams repeat less work, give agents clearer guidance, and see where human attention makes the biggest difference.

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See how it works

SHARED INTELLIGENCE

An insight enters the network

SHARED INTELLIGENCE

An insight enters the network

Move faster
by repeating less.

When decisions stay in scattered conversations, the next person or agent starts over. Your team repeats the explanation, the correction, and the work.

When decisions stay in scattered conversations, the next person or agent starts over. Your team repeats the explanation, the correction, and the work.

That experience belongs to your business. XTrace keeps it connected and available, so the next task can build on what your team already knows.

That experience belongs to your business. XTrace keeps it connected and available, so the next task can build on what your team already knows.

One lesson.
A stronger starting point.

Priya reviews a working approach. XTrace keeps the lesson and its source ready for the next teammate and agent.

From your team’s work

We already solved this.

Use the reporting workflow we tested. Keep the checks that made it reliable.

Reviewed by Priya
XTrace
Retained.
Shared.
Ready to reuse.
Weekly reportingNoah builds on the lessonCodex Shared guidance ready
Customer updatesAlex adapts the proven approachClaude Shared guidance ready
The next projectMaya has a stronger starting point
One team’s experience. More people moving forward.The original work and its reasoning stay connected.

HOW XTRACE WORKS

Turn one lesson into shared intelligence.

See what happens in the work. Keep the useful lessons, bring reviewed guidance to agents, and improve it as your team learns.

See what happens in the work. Keep the useful lessons, bring reviewed guidance to agents, and improve it as your team learns.

01 / OBSERVE

See where your team needs support.

Understand where work gets stuck and where people keep stepping in. Focus your attention where it can make a difference.

02 / DISTILL

Carry good decisions forward.

Let a lesson from one person help the next. Keep useful experience available as work moves between teammates and tools.

03 / ENFORCE

Catch repeated mistakes earlier.

Bring your team’s reviewed standards into agent work, so people spend less time making the same corrections.

04 / LEARN

Make the next task a better one.

Turn repeated corrections and useful exceptions into better guidance. Help your team spend less effort relearning and more effort moving forward.

05 / CONNECTED IN XTRACE

Your company’s experience.Working for everyone.

Help your people and agents build on what already works, so more of the team’s effort goes into what comes next.

YOUR INTELLIGENCE INFRASTRUCTURE01 / 05
01ObserveTeam activity capturedONE LIVING SYSTEM
Team activity captured

Understand the return behind your AI spend.

See where your AI investment goes, how much human effort it takes, and what to investigate next. A shared view for finance and engineering.

See where your AI investment goes, how much human effort it takes, and what to investigate next. A shared view for finance and engineering.

A clearer basis for your next AI budget.

Learn more about Sessions

AI Insights

Estimated AI spend$12,480Month-end estimate $15,600
Finished tickets48 / 36 / 24Feature / Bug / Chore
Cost per ticket$133 / $97 / $109Feature / Bug / Chore

Spend by repository

FeatureBugChore
customer-api$6,240
payments-api$3,744
billing-service$2,496
Budget outlook 104%$600 above the $15,000 budget at month end
Learn more about Sessions

More room for the work ahead.

Give your best people their attention back.

Let their experience guide more work, with fewer repeat explanations pulling them away.

“Have we built this before?”“Why did we choose this approach?”
Start with the team’s shared knowledge.Earlier work. Decisions. Reasons.
Priya’s attention, on what’s next.Designing the
next release.
Their judgment still matters.
Every explanation doesn’t have to repeat.

Start where the team left off.

People and tools change. Your company’s hard-won lessons can keep working for the people who come next.

Maya’s first day.A starting point built by the team.
The knowledge behind the next good decision.
Proven approaches
Decisions and their reasons
Lessons from real work
New to the team.
Already building on its experience.

See what this means for your team

Engineering teams

↗

Ship more. Repeat less.

GTM teams

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Build on what your team learns about customers.

Uncover the ways your team can move faster

Find where repeated work is holding your team back, and where shared knowledge could help them move forward.

Find where repeated work is holding your team back, and where shared knowledge could help them move forward.

Book a demo