AI Integration Into the Software You Already Run
Your ERP, CRM and internal tools stay. We add the intelligence inside them — where your team already works.
#1
reason enterprise AI pilots fail: no fit with existing systems
Source: 2026 mid-market AI research
88%
of customers expect you to know their full history across channels
0
platform licences — we build into the stack you own
The reason you’re here
Sound familiar?
- You bought an AI tool. It lives in another tab, knows nothing about your data, and adoption is near zero.
- Your knowledge is real but scattered — SOPs in Drive, tickets in a helpdesk, specs in email, prices in the ERP.
- Legal will not approve anything that ships customer data to a third-party model.
- Your engineers wired up an LLM in a weekend and nobody can tell whether it got better or worse since.
- Every vendor quotes a platform licence when what you need is one feature inside your own app.
Every one of those is a solved problem. Below is exactly how we solve it, what it costs you in time, and what you get to keep at the end.
What you get
AI Integration for Existing Software, delivered as concrete pieces of work
RAG over your knowledge base
Ingestion, chunking, hybrid search and reranking across your documents, tickets and database — with citations, so answers can be checked.
In-app copilots
An assistant embedded in the screens your staff already use, with permission-aware access to the same records they can see.
System-to-system connectors
Clean integrations with SAP, Odoo, Zoho, Salesforce, HubSpot, Tally, QuickBooks or your in-house API — including the ones with no real API left.
Private & on-prem deployment
Open-weight models in your VPC or on your own hardware when data cannot leave the building. Same interface, different runtime.
Guardrails & permissions
Row-level access, PII redaction, prompt-injection defences, refusal handling and a full audit log of every model call.
Evaluation harness
A golden dataset and automated scoring so a prompt or model change is a measured decision, not a vibe.
How we work
Small first step. Measured result. Then scale.
1 · Fit review
We map your systems, data sensitivity and the one workflow where AI would actually get used daily.
2 · Grounding
Connect the sources, build the retrieval layer, and prove answer quality against a labelled evaluation set.
3 · Embed
Ship the feature inside your existing UI, behind your existing auth and permissions.
4 · Govern
Monitoring, cost caps, drift alerts and a quarterly model review as the frontier moves.
Questions we get asked
Before you email us
Our main system is old and has no API. Is that a blocker?
Usually not. We front legacy systems with a read-only replica, a database view or a thin API wrapper rather than touching the original code. If the system genuinely cannot be reached safely, that becomes a modernization conversation instead — and we will say so.
Can everything run inside our own infrastructure?
Yes. We deploy open-weight models on your VPC or on-prem GPUs when compliance requires it. Expect a quality trade-off against frontier models on the hardest tasks; we benchmark both on your data before you decide.
How do you stop it from making things up?
Retrieval with citations, refusal when confidence is low, permission-aware filtering, and an eval suite that runs on every change. Hallucination is a measurable rate, and we treat it like any other defect rate.
Who owns the code?
You do. Full source, in your repository, from day one. No vendor lock, no per-seat platform fee.
Start here
Tell us what’s broken. We’ll tell you what it takes to fix it.
You get a 30-minute call with an engineer — not a salesperson — and a written summary of the approach, rough timeline and rough cost. No obligation, no drip campaign.
- Reply within one business day
- Fixed-price milestones after discovery
- You own the source code, always
- NDA before the first call if you want one
Prefer email? [email protected] · +880 1635 191148
Get a ai integration for existing software proposal
Two minutes to fill in. A real answer back, from someone who will do the work.
Related services
AI Automation & AI Agents
Agents that read the email, pull the data, update the system and escalate the edge case — with a human approving anything that matters.
Legacy Software Modernization
Strangler-fig migration: new system grows around the old one, module by module, until the last screen is switched off.
Data Engineering & Analytics
Pipelines, a warehouse and dashboards that agree with each other — so one number means one thing across the company.