AI Automation & Integration Services — Custom Agents, LLM & Workflows
Firstly Solutions is an AI automation company in India that builds intelligent agents, LLM integrations, and workflow systems that connect to your CRM, ERP, and internal tools — eliminating manual work at scale.
What We Build
Custom AI agents
Purpose-built agents for support triage, sales assistance, internal copilots, and retrieval-augmented Q&A over your own documents — not a generic chatbot bolted onto your site.
Workflow automation
Systems that move data between your CRM, ERP, email, forms, spreadsheets, and databases without a person copy-pasting between tabs, with human approval steps kept wherever the decision matters.
LLM integrations
Language-model features embedded directly into dashboards, admin panels, and customer-facing apps — drafting replies, summarising records, and classifying inputs inside tools your team already uses.
Intelligent document processing
Extracting, validating, and routing data from invoices, purchase orders, and forms so someone isn't retyping the same numbers from a PDF into an accounting system every week.
Search & knowledge systems
Retrieval and summarisation layers built on your internal wikis, tickets, and policy documents, so staff get a direct answer instead of hunting through folders.
Analytics & monitoring
Usage, quality, and cost dashboards for every agent and workflow we ship, so you can see what's running, what it's costing, and where a human still needs to step in.
Technology Stack
- AI/ML Frameworks
- Python, TensorFlow, PyTorch, Scikit-learn, Hugging Face
- LLM Integration
- OpenAI, Gemini, Claude, and open-weight models when self-hosting is required
- Automation
- n8n, Make (Integromat), Zapier, custom Python workers
- Data Pipeline
- Apache Airflow, Pandas, Spark, dbt
- Vector DBs
- Pinecone, Weaviate, pgvector (for RAG pipelines)
- Deployment
- FastAPI, Docker, AWS SageMaker, Google Vertex AI
Why AI Now?
The biggest wins are no longer in isolated AI demos. They come from integrating AI into the tools your team already uses and automating the repetitive work around them.
Delivery Process
- 1Discovery — map repetitive work, systems, approvals, and desired business outcomes
- 2Data and integration audit — review tools, documents, APIs, and access patterns
- 3Build — create the agent, workflow, and product interfaces around it
- 4Testing and rollout — monitor quality, permissions, and human review loops
Pricing
Pricing depends on scope. A small automation can start around ₹25,000; a full custom system can run ₹1,50,000 and up. We'll give you a ballpark range on the first call so neither of us wastes time.
Let's TalkWho We Build This For
Most of our AI automation work starts with one recurring, manual task that's eating hours every week. Here are the operational bottlenecks we hear about most often from Indian SMEs — each one links to a deeper breakdown of how we'd approach it.
Finance teams re-keying GST invoices
Manually copying vendor invoice line items into accounting software instead of extracting them automatically.
Accounts teams reconciling bank statements
Matching bank statement lines against ledger entries by hand at month-end close.
Ops teams chasing payment collection
Sending overdue-invoice reminders manually instead of triggering them automatically off due dates.
Procurement teams stuck on PO approvals
Routing purchase orders for sign-off over email threads with no audit trail or status visibility.
Support teams answering the same WhatsApp questions
Fielding repetitive order-status and FAQ-style queries on WhatsApp instead of routing them to an agent.
HR teams running onboarding checklists manually
Tracking new-hire paperwork, access requests, and induction steps across spreadsheets and email.
How We Work
Discovery. We start by mapping the actual manual work — which systems are involved, who approves what, and where the process breaks today. This is usually a short set of working sessions with whoever currently does the task, not a generic questionnaire.
Data and integration audit.Before writing any automation, we check what your tools' APIs actually expose, what data quality looks like, and what access/permission model has to be respected. This step is what prevents a workflow from breaking in week two.
Build. We build the agent, workflow, or integration incrementally, in a working environment you can see and test as it comes together — not as a single black-box handover at the end.
Testing and rollout.Before anything goes live on real data, we test edge cases and add human-review checkpoints wherever a wrong automated decision would be costly. After rollout, you get visibility into what the system is doing and where it's flagging things for review.
Frequently Asked Questions
Will this work with the tools we already use?
In most cases, yes. We integrate with whatever CRM, ERP, accounting, or communication tools you're already running via their APIs, rather than asking you to migrate to a new platform.
How long does a typical project take?
A focused integration or single workflow usually takes a few weeks from discovery to rollout. A full internal AI agent or multi-system platform takes longer — we scope this precisely after the discovery step, not before.
Is our data safe?
We design access around the principle of least privilege — the automation only gets the permissions it needs for its specific task — and we're upfront about which LLM provider (or self-hosted model) your data passes through before you sign off on the build.
What if we don't have in-house technical staff?
That's the normal case for the SMEs we work with. We handle the technical build and hand over documentation and light training for whoever will own the system day-to-day, and we stay available for support after launch.
Do you build one-off automations or ongoing platforms?
Both. Some engagements are a single workflow fix; others grow into a broader internal AI platform over time. We scope each engagement to the problem in front of you, not a fixed package.
Why Firstly Solutions
We're a small, engineering-led team based in Haldia, West Bengal. We build the agents, integrations, and workflows ourselves — you're talking directly to the people who will design and ship your system, not an account manager relaying requirements to an offshore bench.
That also means we're honest about scope: if a project needs a large team or a timeline we can't realistically hit, we'll say so upfront rather than overcommit. We'd rather scope a project correctly the first time than have you find out midway through that it was oversold.
Our AI automation work sits alongside a second line of the business — custom hardware, PCB design, and industrial control systems (SCADA, PLC, fire and motor control) — so when a project needs both software and physical-system integration, it stays with one team instead of being split across vendors.