Your Data & AI Were Fine ... Until Something Changed.
A new product launch. A pricing bundle update. New help docs in the customer portal.
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Small changes happen everyday, and they add up: without the resources in place to keep them in check, dashboards and AI alike start lying.
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We prevent that from becoming a crisis.
When the data architecture project wrapped up, Marcus felt confident for the first time in months.
The executive dashboards finally matched across systems.
Data pipelines were running smoothly, and as the Chief Data Officer, Marcus was thrilled that the company’s first AI initiatives were beginning to deliver real insights. For a while, everything worked exactly as expected.
But over the next few months, small changes started appearing - a new product launch required additional fields in the CRM; Marketing added new campaign attributes to support a global initiative; Finance updated pricing structures for a new billing model.
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On their own? These were minor. But they added up - data pipelines began degrading and reports started showing discrepancies. AI began saying insights that simply weren't true, leading to incorrect revenue forecasting that was bubbled up in the last Board update. The post-mortem took longer than the original architecture project.
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Marcus realized they'd missed on the ongoing data and AI oversight, monitoring, and refinement needed to keep drift from becoming a problem.
Solve These Challenges
AI Was Accurate. Now, It's Not.
RAG pipelines break, retrieval relevancy drops, and AI begins hallucinating.
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Surprise Cloud Bills
Usage balloons from agreed-upon constraints.
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Teams Trusted Your AI. Now, They Don't.
User confidence drops, leading to people reverting back to "old" ways of working
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Data, IT, and Product Assume Someone Else Handles The System Monitoring.
But in reality, nobody is.
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Realize Gains Such As:
Measurable KPIs
Answer quality, latency, and cost per 100 tasks within agreed-upon targets
Active user rate increased 35% after 90 days
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Operational Wins
Regular updates and maintenance are completed, allowing you to keep building with stable AI accuracy
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Executive Wins
Measurable SG&A savings as AI adoption takes off cross-functionally ... and with reduced incidents and failures.
Trusted By:
How We Help: AI & Data
Managed Services
We're in this for the long haul. Ongoing AI reliability engineering, data audits, governance, and monitoring for your AI systems is a must, and includes:
Monthly Golden Set Evaluation
Drift Detection & Remedy
Data Pipeline Updates
Cost Governance &
Budget Controls
Incident Response & Root Cause Analysis
Policy & Compliance Management
We Work
Across Systems, Including:
“It is clear DoubleTrack has spent hours learning our internal processes inside and out."
Verified AppExchange review
Keep your AI and Data predictable and working.
Most companies spend so much time building and launching their data and AI initiatives that there's little left for onoing maintenance - or it's treated as an afterthought.
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It doesn't work; drift will happen. Unchecked, it leads to significant costs and organizational friction.
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We keep it from happening.
SUCCESS STORIES
Customers like you are on the right track
Let's Talk
On Your Schedule
Schedule a time that works best for you, and we look forward to learning how we can help - and adding value right away.
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Want to call us? (844) 4DATAVALUE