Beyond call recording: getting real ROI from Gong
Most teams treat Gong as expensive call storage. The return is in coaching, deal execution, and forecast accuracy. Here is how to move from recording to results.
Read the full post → Why It Matters
An AI deployment that nobody tends quietly stops being worth paying for.
AI is not a system you install and walk away from. The data it reads changes. The way your team uses it changes. The models themselves change, often for the better, several times a year. Left alone, a deployment that launched strong drifts: prompts that worked start missing edge cases, costs creep, adoption slips, and one day someone asks why you are still paying for it. The teams that get lasting value are the ones that treat AI like the living system it is.
What ongoing actually means
We watch the things that decide whether the deployment is still earning its keep: accuracy and quality of output, real usage, cost per outcome, and where users are working around the tool instead of with it. When usage reveals a weak spot, we refine the prompts and the workflow rather than waiting for a quarterly post-mortem. And when Anthropic ships new capabilities or a stronger model, we evaluate and adopt what helps instead of leaving you on last year’s version.
Improvement, not just maintenance
The goal is a curve that climbs. Every review is a chance to widen what the agent handles well, retire what it does not, and fold in what we have learned from real usage. ROI on a well-tended AI deployment should be higher in year two than at launch, because the system has been tuned to your actual work rather than the assumptions you started with.
Why Abstrakt Solutions
We do not disappear at go-live. The same team that built the deployment stays close to it, with the Salesforce and AI depth to tell the difference between a prompt problem, a data problem, and a process problem, which is usually where the real fix lives. As a Salesforce Consulting Partner since 2017 and an Anthropic build partner, ongoing optimization is how we keep what we build worth what it costs.
What We Deliver
How we help with Ongoing Support & Optimization.
The engagements we run most often on Ongoing Support & Optimization, from first implementation through optimization.
Performance monitoring
We track accuracy, usage, cost, and business outcomes in production, so you can see whether the deployment is still earning its keep. Problems surface as signals, not surprises.
Prompt and workflow refinement
We iterate the prompts and the surrounding workflow as real usage reveals where the agent struggles. The system gets sharper on your actual work over time, not staler.
Model updates
We evaluate and adopt new Claude capabilities and models as Anthropic ships them, so you are never stuck on an older, weaker version. You get the upside without the migration headache.
Quarterly optimization
Regular reviews that widen what the agent handles well and retire what it does not, keeping ROI climbing instead of decaying. Maintenance that compounds rather than just holding the line.
How We Work
The engagement model.
Predictable phases. Clear deliverables. No surprises.
01
Discovery
One to two working sessions to map your current state, business goals, and gaps. We come out with a written scope and recommendation.
02
Design
Documented architecture, realistic timeline, and transparent commercial proposal. No surprises and no hidden scope.
03
Build
Configuration, development, integrations, data migration, and QA, with weekly demos and on-the-fly adjustments.
04
Launch & Optimize
Training, change management, hypercare, and ongoing optimization. We do not disappear at go-live.
Featured Insight
Insights on Ongoing Support & Optimization.
Practitioner-level analysis from the consultants delivering the work.
Revenue Operations