ops.reckap.com/ai-ml/consulting
Consult map
InterviewScorePilot
Jobs before tools.
Services
AI and machine learning
Custom models, agents, bots, and analytics with a clear handoff.
Custom models, agents, bots, and analytics with a clear handoff.
ops.reckap.com/ai-ml
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.
Reckap scopes AI to a real job in your stack: consulting and readiness first, then LLMs, agents, bots, predictive models, MLOps, and team training. Every engagement names what the system may do, when a person takes over, and who owns it after handoff. We rewrite live delivery patterns from Reckap's AI, chatbot, and analytics work - not slide-deck theater.
Custom models, agents, bots, and analytics with a clear handoff.
Clarity
Problems we hear, outcomes we ship
Same facts, two columns - so the job and the finish line stay visible.
Buyer problems
- Pilots stall because nobody named the job, the data source, or the risk line.
- Chatbots open a second inbox instead of writing into CRM or helpdesk.
- Models ship once, then drift with no owner, alert, or rollback.
- Teams buy tools before readiness: access, retention, and governance are unclear.
Outcomes
- A written pilot with pass/fail checks and a named operator.
- Agents and bots that stop at the risk line and escalate with context.
- Retrieval and prompts over your approved sources - not hope and a shared spreadsheet.
- Runbooks, monitoring, and handoff so your team can run what we ship.
Scope
What is included
Named deliverables - not a vague AI platform claim.
- Use-case selection before build
- Guardrails and human takeover
- Integration into tools you already run
- Runbooks your team can own
Catalog
Service groups
Open a group for the job, then the leaf for the deliverable.
- ops.reckap.com/ai-ml/custom-ai
LLM lane
IntegrateRetrieveEvalIntegrate, retrieve, eval.
- ops.reckap.com/ai-ml/agents
Agent lane
BoundActEscalateOne job, hard stop.
- ops.reckap.com/ai-ml/bots
Bot handoff
ChannelIntentCRMHumanBuy on handoff + CRM write-back, not demo chat.
- ops.reckap.com/ai-ml/predictive
Signal to decision
- Feature coverage82%
- Eval pass74%
- Dashboard use61%
- ops.reckap.com/ai-ml/mlops
Deploy loop
BuildEvalShipDrift check - ops.reckap.com/ai-ml/training
Enablement
- Role sessionOps
- PlaybookOwner
- Office hoursWeek 2
Delivery
How we deliver
Click a step - the desk below updates. That panel is a preview, not another step.
Step preview
01, Discover
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.
Context
Related industries
Where this path usually shows up for buyers.
Visuals
In this lane
Ops desks for this path - RAG, agents, and eval - not stock screenshots.
- ops.reckap.com/ai/rag
RAG path
Reckap AI deskAllowlistChunkRetrieveAnswer + citeNo answer without a retrieved source - invent stays out of scope.
- ops.reckap.com/ai/agents
Agent loop
Reckap AI deskIntakeDecideAct / escalateIrreversible writes stop at the risk line and page a named human.
- ops.reckap.com/ai/eval
Eval + monitor
Reckap AI desk- Retrieval hit78%
- Escalation rate14%
- Eval pass91%
From Reckap
Cases and guides on this path
Only mapped case studies and posts - empty slots stay empty.
Case study, Health and fitness
vTrainer
Personalized training protocols at product scale
Guide
How to choose the right chatbot for your business
Buy on workflow fit, human handoff, CRM write-back, and security evidence - not on a polished demo reply.
Guide
AI, MVP, and SaaS: what to build first
Separate prototypes from MVPs, decide when SaaS delivery makes sense, and only add AI where a measured workflow owns the outcome.
Guide, Operations
What handoff means when an Albuquerque IT partner ships AI
Scope, allowed actions, owners, and a runbook - so your team can run the workflow after launch. Not another demo that dies in a pilot.
Guide, Product
LLM in your stack vs another SaaS seat
Buy a seat when the workflow is shared and operated for you. Wire a model into your tools when you need ownership, data boundaries, and a written risk line.
Guide, AI
Scoping AI agents for real workflows
Agents fail when the workflow is fuzzy. Scope tools, allowed actions, escalation, and owners before you buy a demo.
Guide, AI
Predictive analytics for ops owners
Forecasts help when an owner will act on them. Scope the decision, the data, and the review cadence - not vanity charts.
Guide, AI
Support bots with clear escalation
Support bots earn trust when escalation keeps context. Scope intents, handoff, and CRM write-back before go-live.
Guide, Data
Data readiness before an LLM pilot
LLM pilots stall on messy ownership, not model choice. Fix sources, quality, and access before you buy seats.
FAQ
Next step
Ready to talk scope?
Bring the job, the systems you already run, and who owns the handoff. We write the rest.