Tacavar builds and operates custom AI workflow systems for service businesses. We run 12 specialized autonomous agents across 15+ large language models from 8 different providers, routing every task to the best model for the job. Not templates. Not chatbots. Real multi-agent orchestration with human-in-the-loop guardrails.
We run production multi-agent systems across multiple orchestration frameworks, with intelligent routing that picks the best model for every task. This is not a demo or a pitch deck. This is live infrastructure we operate every day.
Each model is selected for what it does best. Our router sends tasks to the right one automatically, with fallback chains for reliability.
Two production-grade orchestration systems running 12 specialized agents with approval gates, observability, and automatic failover.
Self-serve platforms give you building blocks tied to one model. Tacavar gives you a done-for-you system with multi-model intelligence, ongoing ops support, and accuracy that matters when mistakes cost money.
Anonymized examples showing how multi-model agent teams deliver measurable results that single-model tools cannot match.
Agents classify inbound candidates, match against open roles using RAG on the job database, draft personalized outreach, and flag anomalies for human review. Four agents run in parallel: classifier (Qwen), matcher (Claude), drafter (GPT), verifier (Grok).
70% faster lead response Near-zero routing errorsClient intake emails classified by case type, key facts extracted, conflict checks run against existing matters, and a structured brief routed to the right attorney. Multiple models handle different subtasks for maximum accuracy.
85% less manual intake time Full audit trailAgents pull from past proposals, case studies, and pricing templates via RAG, then draft scope-specific proposals with a verification agent checking accuracy and consistency before human final approval.
3x faster proposals Consistent qualityStart small, prove value, then expand. Multi-model architecture and reusable agent templates allow faster delivery and lower costs compared to traditional AI consulting.
We map the workflows where AI can create the fastest business value, rank them by impact and execution difficulty, and recommend the best first pilot. Delivered in 3-5 business days.
We implement one high-value workflow in a focused 10-14 day sprint. Your team sees live results fast from a real system, not a slide deck. Reusable templates cut build time 40-50%.
Once the first system is live, we monitor, tune, expand, and report on performance so AI becomes a durable operating capability, not a one-off experiment.
Agents connect to your existing stack via API. We layer context-aware multi-agent decisions on top of the platforms your team already knows, with RAG from your knowledge bases.
Every integration is layered with specialized agents for context-aware routing, classification, and decision-making. RAG pipelines pull from your knowledge bases, SOPs, past proposals, and CRM data so outputs are grounded and accurate, not generic.
The best first systems remove friction from expensive, repeatable work where mistakes cost real money.
Classify inbound messages, surface hot leads, route issues correctly, draft replies, and reduce slow or missed follow-up.
Organize incoming requests, summarize context, reduce repetitive answers, and keep humans in control of final responses.
Turn repetitive drafting work into assisted workflows with RAG from past proposals, templates, and case studies.
Help teams retrieve the right internal information quickly and turn recurring reporting tasks into lightweight automated systems.
Fast, low-friction path from pain point to proof. Reusable agent templates and multi-model routing cut build time 40-50% vs traditional AI builds.
We identify the workflow wasting time, slowing response, or hurting consistency. Map integrations, data flows, and decision points.
Deploy a multi-agent pipeline with triage, routing, drafting, and verification agents. Each agent uses the best model for its task. Human review built in.
Track KPIs via live dashboards, swap in better models as they ship, and use proven results to justify the next workflow.
This offer is strongest when manual communication and document-heavy work are eating expensive human time.
Multi-model templates and reusable agent patterns let Tacavar deliver faster with fewer resources at every stage.
Pre-built multi-agent pipelines for common workflows (triage, draft, verify, route) cut setup time and ensure consistency across engagements.
When a better model ships, we swap it in. No rewrite required. Your workflows automatically benefit from the fastest-moving frontier in AI.
Prometheus metrics, Grafana dashboards, Jaeger tracing, and live event streams. You see exactly what every agent is doing and why.
Short answers to the questions most buyers ask first.
No. Multi-model routing means we use cost-efficient models for simple tasks and premium models only where accuracy matters most. Start with one workflow and expand.
No. Agents handle the repetitive parts. Your team stays in control of decisions that matter, with human review and approval gates built in from day one.
Single-model tools have blind spots. We route tasks across 15+ models so each subtask hits the model that handles it best. Plus you get agents, not a chatbox.
Yes. We integrate via API with Gmail, Slack, HubSpot, Salesforce, Notion, and more. Agents layer intelligence on top of platforms you already use.
Audits deliver in 3-5 days. Pilot sprints ship a live system in 10-14 days. Most teams see measurable ROI within the first month.
Your data stays in your systems. Agents connect via API with strict access controls, audit logging, and governance rules configured per your compliance needs.
Follow Tacavar on LinkedIn and X for live demos, build-in-public updates, and behind-the-scenes looks at multi-agent orchestration handling real operations. Real metrics. Real architectures. No hype.