AI Development & Consulting
AI Integration Services: Add AI to the Software You Already Use
No rebuild needed. Softlance plugs GPT, Claude, Gemini and open-source models into your website, app, CRM or ERP through secure APIs and retrieval (RAG).
- AI features live in weeks, not quarters
- Your data stays private and secure
- Model-agnostic, so you’re never locked in
Thanks — we’ve got it.
A Softlance specialist will call you within 2 business hours. Want to talk sooner?
- 48h Proposal turnaround
- 100% Code & IP ownership
- Fixed Price packages
- 2-week Sprint cycles with demos
Sound familiar?
Your software works — but your competitors now offer AI
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Competitors ship AI features your product doesn’t have yet.
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Teams paste company data into public AI tools, creating privacy risk.
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Earlier AI experiments never made it past the demo stage.
What we build
Secure, production-grade AI inside your systems
LLM API integration
Connect OpenAI, Anthropic, Google or open-source models to your app.
RAG on your data
Search and answer across documents, databases and wikis securely.
AI in CRM / ERP
Summaries, smart fields and suggestions inside Zoho, Salesforce, Odoo or SAP.
Document AI
Extract data from invoices, KYC, contracts and forms.
Private AI deployment
Host models in your cloud (AWS, Azure, GCP) or on-premise.
MLOps & monitoring
Logging, evaluation, cost control and model updates.
The architecture
LLM integration and RAG development without a rebuild
Most businesses do not need a new platform to use AI; they need the software they already rely on to summarise, search, extract or suggest. Our AI integration services add those abilities to existing websites, apps, CRMs and ERPs by connecting them to a language model through an API layer you control, so the model can be changed later without touching the rest of your system.
The usual design has three pieces. Your application calls a small integration service instead of calling a model provider directly, and that service handles prompts, authentication, rate limits, logging and cost tracking. For tasks that need company knowledge, a retrieval layer indexes documents, database records or wiki pages into a vector store and fetches only the passages relevant to each request, applying the access rules your users already have, so nobody sees data they could not see before. The model itself, whether reached through OpenAI, Anthropic or Google, or an open-source model hosted in your AWS, Azure or GCP account, sits behind that service and can be swapped after benchmarking.
For example, a logistics company running a custom ERP could add a panel that summarises a shipment’s email thread, a search box where staff ask questions of the SOP library in plain language, and a button that pulls consignee details from an uploaded invoice into the booking form. None of these require changes to the ERP’s database design.
OpenAI API integration and RAG development both depend on careful evaluation, so we agree a test set of real questions or documents early and report accuracy, speed and cost per request against it. Personal data is masked or kept out of prompts wherever possible, in line with the principles of India’s DPDP Act. You provide API or database access, a staging environment and sample data; you receive the integration service code, its configuration and a monitoring dashboard.
How it works
From first call to live automation in four steps
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Step 1 · Free
Audit
We map your workflows, data and tools, and find where AI saves the most time.
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Step 2 · 48 hours
Blueprint
You get a fixed scope, timeline and price — no surprises later.
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Step 3 · 2-week sprints
Build
We build, test and demo every two weeks, with your feedback built in.
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Step 4 · Ongoing
Optimise
We monitor results monthly and keep improving accuracy and ROI.
Outcomes we design for
What changes after go-live
AI features shipped fast
Lower risk of data leaks
Predictable AI running costs
See what you could automate — in one 30-minute call.
No pitch deck. You leave with three concrete automation ideas, free.
Works with the tools you already use
We build on your stack first and add tools only where they pay off.
- HubSpot
- Zoho
- Salesforce
- WhatsApp Business API
- OpenAI
- Anthropic Claude
- Google Gemini
- Shopify
- WooCommerce
- n8n
- Make
- Zapier
- Slack
- Google Sheets
Engagement models
Start small. Scale what works.
Pilot
from ₹80,000
One high-impact workflow live in 2–3 weeks. Prove ROI before you scale.
Start a pilotGrowth
Most chosenFixed quote
A complete system across teams in 6–10 weeks, priced after your free audit.
Get my quoteDedicated AI pod
Monthly
An AI engineer, automation specialist and PM working as your in-house team.
Talk to usPrices exclude GST and third-party costs such as model usage, messaging and software licences.
Frequently asked questions
Can you integrate AI into a legacy system?
Yes, through APIs, middleware or database connectors.
Will our data be used to train public models?
No — we use enterprise API terms or private deployments that exclude training.
Which model should we use?
We benchmark options on your tasks for quality, speed and cost.
Do you support DPDP Act compliance?
We design for India’s DPDP Act requirements: consent, data minimisation and access controls.
What is the timeline?
Most integrations go live in 3–8 weeks.
What does it cost?
Integration packages start from ₹80,000.
Get a free AI integration assessment for your software.
Tell us about your business. You’ll get a fixed-price proposal within 48 hours.
- We call within 2 business hours to understand your goals.
- Free 30-minute audit of your current workflows.
- Fixed scope, timeline and price — in writing, in 48 hours.
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Check your inbox for a confirmation. We’ll call within 2 business hours.
