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
Up to

$1.2m

for enterprise scale

Delivering AI Guided Selling To Hundreds of Enterprise And High-Growth Revenue Teams

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.

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

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
78K
Generic Agents
70K
Frontier Agents
53K
Glean
42K
MIKI Avg
33K

COST PER 1 MILLION QUERIES

Claude Opus
70x
$225k
GPT 5.5
70x
$220k
GPT 5.4
38x
$120K
Gemini Pro
22x
$66K
MIKI OSS
1x
GRATIS

57%

fewer tokens consumed by MIKI

2.3x

more efficient than MCP agents

95%

lower inference cost with MIKI

$1.2m

potential annual savings for a 100-rep enterprise

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.

90%+

Answer accuracy

6x

Fewer inference steps

↓

Token Cost

Executive Verdict

90%+

Answer Correctness

> Industry

Utility

> Industry

Completeness

95%+

Cost Savings vs Claude Opus / GPT-5.5

57%

Fewer Tokens per Query

$500K - $1.2M

Potential Annual Savings (For a 100-rep enterprise)

Get the Unfair Advantage with MIKI. The Only Agentic Architecture That OutcomeMaxxes.

Stop paying 70× more for fragmented answers. See MIKI deliver accurate revenue outcomes at 95%+ lower cost.