AI Consulting Models That Cut LLM Costs and Deliver Results

Most AI consulting engagement models deliver strategy decks. Jinba audits your AI spend and replaces costly stochastic agents with deterministic workflows built for regulated enterprises.

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A Consulting Engagement Model Built for Regulated Enterprises

Workflow diagram

Jinba combines AI strategy consulting with hands-on implementation, backed by roughly 70 enterprise case studies including MUFG. Starting with a free AI assessment, we audit your current AI spend, identify where stochastic agents are burning unnecessary tokens, and architect deterministic workflow alternatives that cost a fraction of the price to run at scale.

  • Describe your target workflow in plain language and Jinba generates a governed workflow draft, refined further in a visual editor by your team
  • Define routing rules, compliance thresholds, and exception handling so every workflow execution follows auditable, deterministic logic
  • Validate and enrich data automatically by connecting to your internal systems, reducing manual review and improving accuracy across KYC, underwriting, and compliance processes
  • Every workflow execution is logged with full audit trails, role-based access controls, and version history so regulators and internal teams always have a complete record

From AI Assessment to Working Workflows in Weeks

Send weekly metrics to Slack every Monday at 9am
1
Build in Jinba Flow

Start with a free AI strategy assessment. Jinba maps your current AI spend, identifies token waste from stochastic agents, and designs deterministic workflow alternatives tailored to your compliance environment.

test_runner.log
Running workflow test...
Input validation 12ms
Fetch from Sheets API 847ms
Process 24 rows 156ms
Send to #sales 203ms
PASS All steps completed 1.22s
Output preview:
"sent": true, "channel": "#sales"
2
Deploy securely (API / batch / MCP)

Jinba Flow translates the consulting blueprint into deployable workflows using chat-to-flow generation and a visual editor. Workflows are published as APIs, batch processes, or MCP servers with on-premise deployment for air-gapped environments.

3
Run in Jinba App (guardrailed UI)

Non-technical operations teams execute approved workflows safely via Jinba App using chat and auto-generated forms, with full RBAC, audit logging, and SSO so governance is built in from day one.

Enterprise Ready

Control, security, and support for large organizations.

On-Prem
Jinba
Private

On-premises or private cloud hosting

Run Jinba in your own environment with full data control.

Team Permissions
128 Active
Sarah Chen
Sarah Chen Engineering Lead
Workflows
Michael Ross
Michael Ross Product Manager
Analytics
Guest User
Guest User External Auditor
Admin Access
SSO Enforced
Updated 2m ago

Advanced access control

Role-based permissions and SSO integration.

audit_stream.log
1
[200] 09:14:22 GET /api/v1/health_check
2
[INFO] 09:14:23 Worker node_04 connected
3
[AUTH] 09:15:01 User admin@corp verified
4
[AUDIT] 09:15:02 Role assignment update
5
// Syncing to edge...
6
[200] 09:15:08 Config updated

Audit logging

Complete compliance and security oversight tracking.

User
Marketing
RESTRICTED
HR
ALLOWED
Screening
Automation

Organization management

Spaces, roles, and approvals for your team.

OpenAI
Gmail
Slack
HubSpot
Salesforce
Notion
Linear
GitHub
Teams
Dropbox
OpenAI
Gmail
Slack
HubSpot
Salesforce
Notion
Linear
GitHub
Teams
Dropbox

Pre-built & custom integrations

100+ pre-built integrations plus custom connectors for your internal systems.

Alice
Alice 10:42 AM
We need a connector for our internal CRM. Is this possible?
James
James 10:43 AM
Sure! Can you share the API spec?
Alice
crm_api_spec.pdf
James
Got it. I'll have the connector ready by tomorrow.
James
James Next day
Connector is live!
Alice
Thank you!

Dedicated Engineer Support

Work side-by-side with our engineers to remove blockers and accelerate your workflow development.

AWS Bedrock Claude 3.5 Sonnet
Azure OpenAI GPT-4 Turbo
Meta Llama 3 Self-hosted 70B

Private model hosting

Use Bedrock, Azure AI, or your own models securely.

On-Prem
Jinba
Private

On-premises or private cloud hosting

Run Jinba in your own environment with full data control.

Team Permissions
128 Active
Sarah Chen
Sarah Chen Engineering Lead
Workflows
Michael Ross
Michael Ross Product Manager
Analytics
Guest User
Guest User External Auditor
Admin Access
SSO Enforced
Updated 2m ago

Advanced access control

Role-based permissions and SSO integration.

audit_stream.log
1
[200] 09:14:22 GET /api/v1/health_check
2
[INFO] 09:14:23 Worker node_04 connected
3
[AUTH] 09:15:01 User admin@corp verified
4
[AUDIT] 09:15:02 Role assignment update
5
// Syncing to edge...
6
[200] 09:15:08 Config updated

Audit logging

Complete compliance and security oversight tracking.

User
Marketing
RESTRICTED
HR
ALLOWED
Screening
Automation

Organization management

Spaces, roles, and approvals for your team.

OpenAI
Gmail
Slack
HubSpot
Salesforce
Notion
Linear
GitHub
Teams
Dropbox
OpenAI
Gmail
Slack
HubSpot
Salesforce
Notion
Linear
GitHub
Teams
Dropbox

Pre-built & custom integrations

100+ pre-built integrations plus custom connectors for your internal systems.

Alice
Alice 10:42 AM
We need a connector for our internal CRM. Is this possible?
James
James 10:43 AM
Sure! Can you share the API spec?
Alice
crm_api_spec.pdf
James
Got it. I'll have the connector ready by tomorrow.
James
James Next day
Connector is live!
Alice
Thank you!

Dedicated Engineer Support

Work side-by-side with our engineers to remove blockers and accelerate your workflow development.

AWS Bedrock Claude 3.5 Sonnet
Azure OpenAI GPT-4 Turbo
Meta Llama 3 Self-hosted 70B

Private model hosting

Use Bedrock, Azure AI, or your own models securely.

Book Your Free AI Strategy Assessment

If your AI consulting engagement is delivering strategy but not savings, Jinba can audit your AI spend and build the workflows that actually move the needle for your regulated enterprise.

Book a Demo

Frequently Asked Questions

Everything you need to know about Jinba. Can't find the answer you're looking for? Reach out to our support team.

How is Jinba's consulting engagement model different from Big Four firms?

Unlike McKinsey or Big Four consultants who deliver strategy decks over 6 to 12 month timelines, Jinba's engagement model combines strategy and implementation. Starting with a free AI assessment, Jinba moves from audit to working workflows in weeks, leveraging roughly 70 enterprise case studies in banking and insurance.

What does the free AI strategy assessment include?

The free assessment evaluates your organization's AI readiness and automation opportunities. It audits current AI spend, identifies where stochastic agents are generating unnecessary token costs, and maps a deterministic workflow strategy you can take to your board or CFO.

Can Jinba reduce our current LLM API costs?

Yes. Jinba's deterministic architecture uses 80% rule-based workflows, which cost significantly less to run at scale than stochastic AI agent equivalents. The consulting engagement includes an LLM cost audit that identifies architectural changes to reduce token burn as you move from AI pilots to full production.

Is Jinba's platform compliant with regulated industry requirements?

Jinba is SOC II compliant and purpose-built for large regulated enterprises including banks and insurance companies. The platform supports on-premise deployment in air-gapped environments, full audit logging, RBAC, SSO, and Active Directory integration to meet strict governance standards.

What workflows can Jinba help us build during a consulting engagement?

Jinba has deep expertise in KYC document processing, contract review, compliance checks, loan underwriting automation, and investment document assessment. Engagements are tailored to your specific workflow pain points and regulatory environment.

Who are the main stakeholders in a Jinba consulting engagement?

Jinba's engagement model is designed for a dual-champion approach: Heads of AI who understand the technical value and Heads of Operations who are accountable for ROI. CFOs and Chief Innovation Officers are also key stakeholders, particularly given growing pressure to reduce AI API spend.

Does consulting lead to Jinba platform adoption?

Consulting engagements naturally lead to Jinba platform adoption for implementation. Rather than handing off a strategy document, Jinba uses the platform itself to build and deploy the workflows identified during the assessment phase, ensuring continuity from strategy to production.

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