Performance & Cost Benchmarking
Stop TokenMaxxing. Start OutcomeMaxxing with Aviso.
MCP Agents burn tokens, give poor answers, and deliver big bills. Aviso’s master agentic orchestrator, MIKI, delivers accurate revenue outcomes at fractional cost of competitors.
Correctness
90%+
Avg. Tokens/Query
57% Fewer
Cost Reduction
95%+
Annual Savings
$1.2m
for enterprise scale
Book a custom demo of Aviso with a product specialist
One Question - Two Radically Different Approaches
The Problem: Tokenmaxxing with Retrieval First MCP
Incomplete Answers: Generic systems tell you which regions will miss quota but fail to provide root causes or recommended actions.
Query-Time Hunting: Forces the LLM into a query-time scavenger hunt, making blind calls to isolated external tools without a unified index.
Context Window Bloat: Floods the model with irrelevant keyword matches, acting as heavy noise.
Skyrocketing Token Costs: Shoves unfiltered noise into the prompt, forcing the LLM to pay for it all in escalating token costs.
The Aviso Advantage: Outcomemaxxing with MIKI
Complete Business Answers: MIKI accurately identifies which regions will miss quota, the gap to plan, root causes, and recommended actions.
Unified Context Graph: Maps CRM hierarchies and territory setups so MIKI navigates domain data without re-deriving logic.
Predictive Revenue Core: Runs Large Quantitative Models (LQMs) that reason across enterprise data to generate forecasts and guide revenue decisions.
Deterministic Validation: Catches errors natively without inefficient LLM retry loops, maintaining high correctness within low token budgets.
Response Quality
MIKI Outperforms Industry Across Every Critical Dimension
Correctness:
Consistently delivers 90%+ accurate answers using data across multiple sources
Utility:
Drives actions by combining APIs, SQL and analytical reasoning better than competitors
Completeness:
Combines LLMs with LQMs to provide complete business answers and next best actions
Cost Savings
MIKI’s Maximum Architecture Efficiency. Minimum Enterprise Cost.
Consumes 57% fewer tokens per query compared to MCP agents
Incurs 95%+ lower inference spend by bringing down the cost per query
Saves $600K - $1.2M annually for a 1000-rep enterprise
AVG TOKENS PER QUERY
MCP Agents
Generic Agents
Frontier Agents
Glean
MIKI Avg
COST PER 1 MILLION QUERIES
Claude Opus
$225k
GPT 5.5
$220k
GPT 5.4
$120K
Gemini Pro
$66K
MIKI OSS
GRATIS
fewer tokens consumed by MIKI
more efficient than MCP agents
lower inference cost with MIKI
potential annual savings for a 100-rep enterprise
Architecture
How MIKI Achieves These Results
Maps CRM hierarchies and territory setups so MIKI navigates domain data without re-deriving every single query.
Runs Large Quantitative Models (LQMs) that reason across enterprise data and specialized AI models to
Employs structured RevOps ontologies to scope queries perfectly, eliminating over-broad context bloat.
Catches errors without inefficient LLM retry loops, maintaining 90%+ correctness within low token budgets.
Answer accuracy
Fewer inference steps
Token Cost
Traditional Agents
1
Received
Cold, no context
2
Re-derives logic
3
Eventually…
6
LLM self-check
loop → Retry on failure
5
Incomplete
first pass
4
MIKI Architecture
1
Received
Pre-encoded RevOps
2
CRM / territory / deal
3
Validated ✓
6
Domain-native execution
5
Deterministic
path
4
Executive Verdict
Answer Correctness
Utility
Completeness
Cost Savings vs Claude Opus / GPT-5.5
Fewer Tokens per Query
Potential Annual Savings (For a 100-rep enterprise)
Stop paying 70× more for fragmented answers. See MIKI deliver accurate revenue outcomes at 95%+ lower cost.