ops.reckap.com/ai-ml/predictive/forecasting
Forecast
- Horizon set90%
- Refresh job70%
- Owner named100%
Owner reads the miss.
AI and machine learning
Predictive analytics and ML
Forecasts, recommendations, and language models on your data.
ops.reckap.com/ai/predictive
Eval + monitor
Reckap AI desk- Retrieval hit78%
- Escalation rate14%
- Eval pass91%
Start with the decision, then the features and the eval set. Dashboards or APIs your operators can trust.
Forecasts, recommendations, and language models on your data.
Problems we hear, outcomes we ship
Buyer problems
- Dashboards look busy but nobody owns the forecast.
- Models train once on a notebook and never get rechecked.
Outcomes
- A model tied to a named decision and owner.
- An eval set and refresh cadence you can rerun.
What is included
- Question first
- Feature sources
- Eval set
- Dashboard or API
Specific work
Pick a package - tables and flows show the shape of the work.
- ops.reckap.com/ai-ml/predictive/recommendations
Recommend
CandidatesRankOverrideOverride allowed.
- ops.reckap.com/ai-ml/predictive/computer-vision
Vision job
LabelInferReviewLow confidence human.
- ops.reckap.com/ai-ml/predictive/nlp
NLP extract
TaxonomyExtractEvalTaxonomy first.
How we deliver
Click a step - the desk below updates. That panel is a preview, not another step.
Step preview
01, Decision
ops.reckap.com/ai/discover
Discover, job map
Reckap AI desk| Job | Data source | Risk line |
|---|---|---|
| Ticket triage | Helpdesk API | No auto-close |
| Lead qualify | CRM + site chat | Human closes |
| Doc Q&A | Allowlisted PDFs | Cite or escalate |
Pilot pick: one job with a named owner and a fail check.
FAQ
Next step
Ready to talk scope?
Bring the job, the systems you already run, and who owns the handoff. We write the rest.