Agents connect your tools, learn your business through an ontology, and run workflows end-to-end. No operators. No handoffs.
LIVE in voice sales, mortgage intake, field services, and legal sync.
Tools your agents connect to and operate without your team
How it works · 02
Plug in what you already run.
CRM, voice, payments, forms, databases, webhooks - mapped into your ontology.
Your data. Open standards.
One model of the business.
A lead in Monday and a member in Amilia become the same Customer object.
Agents reason - not guess.
Agents run the work.
Trigger on events, act across connectors, close loops - 24/7, full audit trail.
Zero operators required.
VIP execution · 02b
Connect Hermes, OpenClaw, or PicoClaw as BYO execution backends. Kravhal grounds every run in your ontology, signs callbacks, and meters outcomes.
Self-hosted agent with Telegram, Discord, Slack, and OpenAI-compatible chat on port 8642.
BYO VPS · HTTPS tunnel required
Gateway HTTP or SDK bridge for long-running agent workflows and tool chains.
BYO gateway URL
Lightweight runtime for VPS, edge boards, and low-footprint always-on automation.
BYO HTTP gateway
Beta · Testing phase
Kravhal proprietary orchestration agent. KravClaw sits in the middle layer between your runtime and connectors to coordinate execution, enforce policy, and automate cross-system process flow end-to-end.
Data Migration · 02c
Automated pipelines discover source systems, map fields to your ontology, validate row counts, and cut over with rollback checkpoints.
Inventory CRM, spreadsheets, databases, and SaaS exports. Profile schemas and row volumes.
Field maps tie source columns to ontology objects. Agents flag mismatches before sync.
Incremental loads with dedupe keys. Parallel connector syncs until parity checks pass.
Flip webhooks to Kravhal, enable agents, and retire legacy handoffs with audit trail.
Capabilities · 03
Connectors, ontology, pipelines, agents, and forecasting + ROA for SMB operators working with limited datasets.
0
Operators in the loop
24/7
Agent execution
20+
Integrations
100%
Routine work automated
Offerings · 04
Pre-built ontology, connectors, and agents by vertical. Open a pack for case studies and web apps.
Available Integrations
7 LoadedInsights · 05
Weekly breakdowns from the AI & Automation Chronicle - papers, practitioner notes, and live discussion threads. Also featured on the portfolio.
Agent library · 06
Six templates for revenue, finance, and planning, wired to your stack. Activate, audit, run.
New contact · CRM webhook
Outcome
Qualified & routed
CRM · Email
847
leads / mo
Invoice past due
Outcome
Reminders on schedule
Billing · SMS
94%
on-time
Stale estimate · 3 days
Outcome
Sequence done or escalated
SMS · CRM
61%
response
Mon · 07:00
Outcome
KPI pack delivered
All sources
12h
saved / wk
Sun · 8-week horizon
Outcome
Forecast + alerts
Forecasting · CRM
8 wk
horizon
Monthly close
Outcome
ROA report delivered
Accounting · CRM
↓bps
bleed caught
Manifesto · 07
SaaS gave you software.
Consulting rented humans.
Kravhal deploys agents.
The old model assumes a human sits between every tool: qualifying leads, chasing documents, updating CRMs, answering phones. That is why operations scale linearly with headcount and why after-hours revenue disappears when people go home.
Agents-as-a-Service is the alternative. Kravhal connects your stack, models your business once, and runs autonomous agents that execute full workflows without operators in the loop. Voice agents sell and book. Intake agents score and collect documents. Sync agents move data between Clio, Stripe, Monday, and the rest while you sleep.
We are not building another dashboard for humans to stare at. We are building the layer that makes humans optional for routine business execution. That is the company: agents as the product, agents as the delivery model, agents as the workforce.
Why AaaS · 08
Traditional SaaS puts tools in your team's hands. Consulting adds people to run them. Agents-as-a-Service removes the assumption that humans must sit in the middle of every workflow.
0
Operators in the loop
24/7
Agent execution
20+
Integrations
100%
Routine work automated
Comparison dimension
Traditional SaaS
Consulting & SI
Kravhal AaaS
Work execution
Internal teams operate licensed software
Partner consultants deliver scoped engagements
Autonomous agents execute connected workflows
After-hours coverage
Processes pause when staff go offline
Coverage limited to engagement hours
Continuous agent execution, 24/7/365
Scaling model
Linear cost per seat and headcount
Linear cost per billable consultant
Parallel agents without adding headcount
Lead follow-up
Rep-driven CRM tasks and manual follow-through
Project-based deliverables with handoff risk
Automated qualification sequences with escalation
Phone and intake
Staff-managed call queues and form routing
Custom integration built per engagement
Voice agents with routed human fallback
Time to value
Fast tool rollout; process design stays manual
Weeks to months per statement of work
Ontology, connectors, and agents live in days
Process consistency
Quality varies by operator, workload, and tenure
Outcomes depend on team, handoffs, and scope
Same playbooks applied on every execution run
Operational cost
Headcount plus recurring license fees
Billable hours, retainers, and change orders
Agent compute aligned to work completed
Contact · 09
Request access, connect your tools, and deploy autonomous agents that run your workflows without operators. Voice, intake, CRM, and document automation in one Agents-as-a-Service workspace.
Agents-as-a-Service · Autonomous by default · SOC 2 in progress
