AI Workflow Integration
AI workflow automation that earns its keep
AI workflow automation services for businesses across India: chatbots trained on your data, document processing, application screening and agents, integrated into the systems you already run. Not demos. The AI workflows I build screen 10,000+ applications per cycle and publish content autonomously, in production, today.
AI already working in production
AI screening at national scale
10K+ applications per cycleWritten and video answers scored by AI with Whisper transcription and multi layer content detection, for India's largest entrepreneurship programme.
Autonomous content pipeline
16 codified rulesA bot that scrapes 13 sources, drafts against a rules spec and publishes with an 80+ quality gate. Runs whether anyone is at a laptop or not.
AI finance categorisation
Paisa exactBank statement import with AI categorisation that learns correction rules, inside a personal finance system reconciled to the paisa.
Executive AI briefings
Microsoft 365 integratedWorkflow audit and a morning dashboard that briefs an architecture firm's leadership daily, built as AI workflow consulting.
A note from me
Half the AI pitches I hear would not survive a month of real invoices. So my rule is simple: if I cannot point to the exact hours your team stops wasting, I will tell you not to build it. The screening system I run has read over ten thousand applications. That is the bar I hold AI work to.
~ Akash
What AI integration looks like
AI Chatbots on Your Data
Assistants that answer from your documents and policies using retrieval, not imagination. On your site, WhatsApp or internal tools.
Document AI & Processing
Invoices, applications, statements and forms read, extracted, categorised and routed automatically. AI document processing that replaces manual data entry.
Application Screening
AI screening for applications, candidates and submissions: scoring, transcription and content checks at a scale no reviewer team matches. Proven at 10,000+ per cycle.
Process Automation
The repetitive review, routing and follow up work your team does manually, wired into automated pipelines.
AI Agents
Multi step agents that research, draft, verify and act under codified rules, with humans approving what matters.
AI Adoption Audit
I map your workflows, find where AI genuinely pays back, and leave a prioritised, costed roadmap.
Toolchain
The questions every founder asks me
Can you integrate AI into the software we already use?
Yes, that is the whole point. AI assistants, document processing and automation get added to your existing CRM, website or internal tools without rebuilding them. Most integrations ship in weeks, not months.
What AI workflows actually pay for themselves?
The ones replacing repetitive human review: screening applications or documents, answering the same customer questions, categorising and routing incoming work, and generating first drafts of reports. I run all four in production. If your use case will not pay back, I will tell you on the call.
Which AI models do you work with?
Claude and OpenAI models, Whisper for speech to text, and open source where it fits. Retrieval (RAG) on your own data with pgvector, so the AI answers from your documents, not from imagination.
Is our business data safe?
Your data stays in your infrastructure. I build on your servers or your cloud accounts, with API calls to model providers scoped to only what the workflow needs. Nothing is used to train anyone else's models.
What does AI integration cost?
A focused integration, like a support chatbot on your data or one automated workflow, is a few weeks of work. Larger pipelines cost more. The free 30 minute call ends with a specific scope and price.
Wondering where AI fits your business?
30 minutes, free, and you leave knowing exactly which workflow to automate first.