Deterministic Agentic Workflows for Mission-Critical Enterprise Operations
Novaflow replaces brittle single-prompt chains with verifiable multi-agent DAG pipelines. Process complex legal contracts, financial reconciliations, and compliance audits with sub-second latency and zero data retention.
See the Multi-Agent Pipeline in Real-Time
Instead of a black-box prompt, Novaflow orchestrates multiple specialized Claude agents in a directed acyclic graph (DAG) with deterministic validation and full audit logging.
Extracted 42 governing clauses, split into semantic legal tokens with positional coordinates.
Executed deep reasoning trace on Delaware indemnity case law. Resolved indemnification caps against standard Schedule B.
Flagged Clause 14.3: Unlimited consequential damages exceeds approved enterprise threshold ($2.5M).
Generated cryptographic provenance proof and structured output for ERP sync.
{
"contract_id": "MSA-2026-X892",
"risk_score": "HIGH_RISK_DETECTED",
"governing_law": "State of Delaware",
"liability_cap": "$2,500,000 (Current clause has uncapped breach)",
"flagged_clauses": [
{
"section": "14.3 Consequential Damages",
"finding": "Mutual waiver missing for third-party indemnification",
"recommendation": "Inject Standard Schedule B Redline Clause 14.3.a"
}
],
"compliance_status": "REQUIRES_GENERAL_COUNSEL_SIGN_OFF",
"provenance_hash": "0x8fa1c9402e1fbd67290bcda41e8"
}Why Generic LLM Wrappers Fail in Production
Enterprise workflows cannot tolerate non-deterministic hallucinations or silent failure modes. Novaflow bridges high-capacity frontier models with mathematical verification.
One massive prompt tossed at an LLM
- ×Silent Hallucinations: Missing subtle clauses in 100-page contracts with no cryptographic citation.
- ×Prohibitive Cost & Latency: Re-sending 150k token context on every request blows up token budgets.
- ×Zero Auditability: Black-box outputs cannot pass SOC 2 or corporate general counsel scrutiny.
Specialized multi-agent verification graph
- ✓Claude 5.5 Adaptive Thinking: Steerable reasoning effort allows instant sub-second verification or deep multi-step mathematical auditing.
- ✓Dual-Tier 5.x Orchestration: Claude Haiku 4.5 handles high-throughput extraction; Claude Opus 5.5 & Sonnet 5.5 execute deep multi-agent reasoning.
- ✓Cryptographic Bounding Box Citations: Every assertion links back to page, line, and raw text coordinates.
Context Caching
Leverages Claude’s 5-minute ephemeral cache to process multi-hundred page master agreements at raw inference speeds.
DAG Orchestration
Parallelized agent tasks with deterministic fallback steps. If validation fails, self-correcting agents re-evaluate.
Zero Retention
No customer data is ever retained for training. Dedicated ephemeral memory contexts destroyed upon completion.
ERP & DB Connectors
Pre-built bi-directional connectors for SAP, Salesforce, NetSuite, Snowflake, and PostgreSQL.
Engineered for Developers Who Value Determinism
Integrate enterprise-grade multi-agent pipelines with 10 lines of code. Native support for Claude prompt caching, typed Pydantic/Zod schemas, and automatic fallback retries.
import novaflow
from novaflow.agents import AgentDAG, ClaudeOpusWorker, RuleVerifier
# Initialize enterprise client with zero-retention mode
client = novaflow.Client(
api_key="nv_live_8910a3f9...",
compliance_mode="ZERO_RETENTION",
base_model="claude-opus-5-5-20260901"
)
# Define typed deterministic extraction DAG with Adaptive Thinking
pipeline = AgentDAG(name="enterprise-contract-verifier")
pipeline.add_step(
id="extract_clauses",
worker=ClaudeOpusWorker(
prompt_cache=True,
thinking_effort="high", # Adaptive thinking depth
extract_schema={
"indemnity_cap": float,
"governing_jurisdiction": str,
"sla_uptime_percent": float
}
)
)
pipeline.add_step(
id="verify_thresholds",
depends_on=["extract_clauses"],
verifier=RuleVerifier(
rules=[
"indemnity_cap <= 5_000_000",
"governing_jurisdiction in ['Delaware', 'New York', 'California']"
]
)
)
# Execute with sub-second verified audit trace
result = client.run(pipeline, document_url="s3://contracts/msa_2026.pdf")
print(result.status) # -> "VERIFIED_COMPLIANT"
print(result.audit_hash) # -> "0x8fa1c9402e1fbd67290bcda41e8"Predictable Pricing Built on Token Efficiency
With Claude prompt caching built natively into every execution, Novaflow delivers up to 90% cost savings compared to traditional agent frameworks.
Ideal for evaluating the multi-agent DAG engine and prototyping proofs of concept.
- Up to 25,000 processed pages
- Claude Opus 5.5 & Sonnet 5.5 (Adaptive Thinking)
- Standard Context Caching
- Python & TypeScript SDK
For scaling applications requiring sustained throughput and SOC 2 audit readiness.
- 250,000 pages included per month
- Priority Claude API rate limits
- SOC 2 Type II audit logs
- ERP integrations (Salesforce, SAP, NetSuite)
- 99.9% Uptime SLA commitment
Mission-critical deployments with strict data residency, private VPC, and custom BAAs.
- Custom high-volume processing & unlimited seats
- Dedicated VPC / On-Premise Air-Gapped option
- HIPAA Business Associate Agreement (BAA)
- Dedicated Applied AI Architect & 24/7 Phone SLA
Institutional Trust & Zero Data Retention
Novaflow is built from day one to satisfy the most stringent requirements of chief information security officers, compliance boards, and regulatory audits.
Zero Data Retention (ZDR)
We leverage Anthropic’s tier-1 enterprise commercial endpoints. Customer prompts, payloads, and embeddings are processed strictly in-memory and instantly flushed upon execution.
SOC 2 Type II & ISO 27001
Independently audited controls across security, availability, and confidentiality. Continuous penetration testing and automated infrastructure compliance monitoring.
Dedicated VPC & Data Residency
Deploy our multi-agent orchestration workers within your AWS, GCP, or Azure private perimeter with AWS PrivateLink to keep proprietary data fully isolated.