Partner / Lyzr
Lyzr gives enterprises the infrastructure to run AI agents inside their own environment. Gyde is the partner that designs what those agents do, connects them to your systems, and makes the result something your risk function will sign.
Gyde and Lyzr
Agent design and scoping
GydeRuntime and governance layer
LyzrEnterprise system integration
GydeAdoption and evidence
GydeThe platform provides the runtime, the governance layer and a library of more than a hundred prebuilt agent blueprints, so teams start from a working pattern instead of a blank page. It is aimed squarely at regulated enterprises that want an internal AI workforce while keeping data and systems under their own control, which is why it has found early traction in banking and insurance and why Accenture invested in the company.
The work
The platform handles the runtime. The work that decides whether an agent is useful sits either side of it.
Most agent projects fail on selection rather than technology. We start from your workflows and score them on volume, repeatability and risk before anything is built.
Agents earn their keep when they can act. We integrate with the CRM, core system, ticketing and document stores where the work actually lives.
What an agent may see and do, mapped onto DPDP Act obligations and the sector expectations your regulator applies.
Usage telemetry, decision logs and the training that gets a team to actually use what was built.
Straight answer
Lyzr gives you the platform. Most of the risk in an agent programme sits outside it.
Picking the wrong first workflow is the most common reason agent programmes stall, and no platform can protect you from it.
Connecting to a core banking system or a twenty year old ERP is the work, and it is rarely on the demo path.
Banks and insurers need evidence, not enthusiasm. We have taken AI systems through those reviews before.
Outcomes
The two or three agents worth building first, and the reasoning behind leaving the rest.
Integrated, governed, and measured against a baseline you agreed before it was built.
Your people owning the agent after handover, with the evidence pack your risk function asked for.
Delivery in India
Most of our delivery is with banks, NBFCs, insurers and manufacturers headquartered in India, which is also where a data-resident agent platform matters most.
Consent, purpose limitation and data principal rights shape what an agent is allowed to see, from the first workshop rather than the security review.
Agent decisions and guardrail events logged in a form your risk and audit functions can present without rework.
Delivery teams travel to your offices across Bengaluru, Mumbai, Delhi NCR, Pune, Hyderabad and Chennai.
Where a workload cannot leave the country, open-weight models can run entirely on Indian infrastructure through Gyde Inference.
Delivered onsite in
Questions
If your question is here in a form we have not covered, ask us directly and we will answer it plainly.
Gyde is a listed implementation partner in the Lyzr partner directory. Lyzr provides the agent infrastructure that runs inside your environment, and Gyde does the design, integration, governance and adoption work that turns that infrastructure into agents doing real work.
Lyzr is an enterprise agent infrastructure platform. It gives an organisation the runtime and governance to deploy and operate AI agents inside its own environment, along with a library of more than a hundred prebuilt agent blueprints so teams start from a working pattern.
Because the platform is rarely the hard part. Choosing which workflow to automate first, integrating with a core banking system or an old ERP, and producing evidence a regulator will accept are where agent programmes actually stall. That work is what a partner brings.
For a well-scoped workflow with available integration points, four to six weeks from selection to production is realistic. The variable is almost never the agent itself. It is access to the systems it needs to act against and the approvals that come with them.
No. Lyzr is one of several platforms we build on, and part of the first conversation is an honest read on whether it fits your case. Where you need a different model access layer or a custom build, our full-stack AI practice covers that instead.
It is the case it fits best. A platform that runs agents inside your own environment answers the data residency question that DPDP Act 2023 and RBI expectations raise, and most of Gyde's delivery history is with exactly these institutions.
Start here
Tell us the process and the systems it touches, and we will tell you honestly whether an agent is the right answer.