AI Workflow Design & Implementation
We build AI systems that work inside your business
The gap between 'AI could help with this' and 'AI is running this' is enormous. Someone has to design the prompt architecture, connect the data sources, handle the edge cases, and make the thing work reliably. That's what we do. This is Nirmano's core IP.
Who it's for
Teams with identified AI use cases ready to build
What it solves
The gap between 'AI could help' and 'AI is running this'
What happens
Prompt architecture, integrations, testing on real data, deployment
Outcome
Working AI workflows your team uses daily
The integration work is where the value lives
AI is at roughly a third of its theoretical capability in knowledge work. The bottleneck is not the technology. Someone has to design the prompt architecture. Connect the data sources. Build the automation logic. Handle the edge cases. Configure the quality controls. Test on real data. Train the people who'll use it.
The Four Workflow Archetypes
Productized patterns that cover 80% of high-value use cases
Content & Communication Engine
Prompt architecture calibrated to your voice
Structured input templates, two-pass quality control, CMS and publishing integration.
30–60% reduction in content production time
Improved consistency. Documentation coverage previously impossible at your team's capacity.
Pipeline & Lead Intelligence
ICP definition from historical data
Win/loss patterns, operational signals, quarterly refinement from conversion data.
Real-time lead scoring integrated with CRM
HubSpot, Pipedrive, Salesforce. Priority scores with recommended next actions.
Operations & Pipeline Automation
Pre-configured automation in your existing systems
Pipeline health monitoring, document processing, ticket classification and routing.
50–80% reduction in administrative follow-up
Earlier identification of at-risk deals, cleaner data, better forecasts.
Attribution & Revenue Intelligence
Multi-touch attribution for your channel mix
Website analytics, email, social, outbound, CRM events, and closed revenue connected.
Clear ROI evidence on every channel within 90 days
Monthly executive reporting. Budget reallocation from low-ROI to high-ROI activities.
Process
Five steps to production
Design
Map the workflow in detail. Inputs, outputs, edge cases, quality thresholds. Approved before any building starts. This is where most AI implementations fail — not because the design was wrong, but because it was skipped.
Build
Prompt architecture, integrations, automation logic. Your existing tools wherever possible. Prompt architecture is the core — system prompts, few-shot examples, input preprocessing, output parsing, evaluation criteria, error handling.
Test
Real data, real users, before going live. Not a demo with cherry-picked inputs. Calibrate outputs. Fix what breaks.
Deploy
Launch into production with monitoring, logging, and feedback mechanisms. Quality metrics. Review cadence.
Handoff or Retain
Your team runs it with full documentation and 30-day support, or transition to Fractional AI Leadership for ongoing management.
What's included per workflow
Timeline & Investment
2-8
Weeks / workflow
Scoped
Per workflow
1-3
Typical workflows
30
Days post-deploy support
2–8 weeks per workflow. A straightforward Content Engine build can be live in two weeks. A multi-system Pipeline Intelligence build takes closer to eight. Most engagements involve 1–3 workflows. Investment is scoped per workflow — let's discuss.
Who it's for
Is this right for you?
You know where AI should go
Use cases identified — through our Strategy service or your own analysis. You need someone to build and ship.
You built something that's not working
The AI 'tool' someone set up six months ago that nobody uses. We diagnose, rebuild from architecture up, and deploy something that works.
20–500 employees, SMB and mid-market
Repeatable workflows worth automating.
What you get
A system your team uses daily
Deployed system in production
Working AI workflow with monitoring and quality controls.
Measurable improvement within 90 days
Time saved, revenue generated, errors reduced, throughput increased.
Team capability, not dependency
Training, documentation, 30-day support. The prompt architecture and workflow design IP belongs to you.
You need this if...
- You have identified use cases and need someone to build and deploy
- A previous AI tool was set up but nobody uses it — needs redesign
- You want production-quality AI workflows, not demos or prototypes
You might need AI Strategy & Readiness instead if you're not sure which processes to automate first
Have a process that could use AI?
Start with a readiness assessment to see where implementation fits.