AI and Agentic Solutions Taking Work Off Your Team
We design, build, and operate AI and agentic systems inside live enterprise workflows, from lead routing to recruitment screening to customer support, and connect them to the AI search visibility work your customers already find you through.
Three things, working as one system
Most agencies sell one of these in isolation. We build them to work together: a model that scores a lead well is only useful if the workflow around it routes that lead somewhere, and a workflow is only worth automating if what it's making decisions on is sound.
Everything here gets built against a specific business outcome first. The AI search visibility work on your own site runs on the same team, so what customers find and what your systems do with them stay connected. The same production discipline runs Kavach, a real-time AI driver-safety system for Nayara Energy.
Process Automation
Routing, scoring, and operational decisions that used to run on spreadsheets and manual review, rebuilt as systems that run continuously.
AI & ML Development
Models and pipelines built against one business outcome and evaluated against it, rather than shipped as a generic proof of concept.
Generative AI Integration
Content, support, and internal tooling wired into the systems your team already uses, deployed into recruitment screening and customer support workflows today.
Not sure which of these three fits your team first? Talk to us for a no-obligation assessment.
The Fulcro Lead Orchestrator, licensed by Tata Motors
ibs Fulcro's own proprietary platform, licensed by Tata Motors as a real SaaS product. It processes 1.2 million+ leads monthly across five sources, Meta, Google, aggregators, SBI, and Amazon, routing every lead to the right call centre by car model.
1.2M+
Leads processed monthly
66.3%
Lead success rate
Want to see how this would work on your own lead volume? Talk to us for a no-obligation assessment.
A short pilot before anything gets scaled
We don't propose a platform-wide rollout on the first call. A pilot on one workflow, with a defined success measure, comes first, the same way the Lead Orchestrator started as a single routing problem before it became the system Tata Motors runs on today.
Audit the Workflow
We map where a task is manually done today and where an agent could safely take it over, without guessing at what "AI-ready" means for your team.
Pilot in One Workflow
One process, real data, a defined success measure, run alongside what your team already does rather than replacing it on day one.
Scale With Guardrails
Human review stays in the loop wherever a wrong call has real cost, and the boundaries of what the system can decide on its own are explicit.
Monitor & Iterate
Live systems get watched, measured, and retrained against real outcomes, checked continuously rather than shipped once.
Want to scope a pilot on a single workflow first? Talk to us for a no-obligation assessment.
AI visibility is the visible part. Agentic systems are the bigger lever.
Most of the current AI conversation with brands is about AEO and AI search visibility, being found and cited correctly in AI-generated answers. That matters, but it's the smaller half of what AI can actually do for an organization. The larger opportunity is agentic systems running inside a business's own processes: sales, marketing, customer service, and internal operations, not headcount reduction, better decisions made on data that already exists but sits unused.
Real-time sales and dealer performance
The problem: dealers and sales reps go off-track for weeks before anyone with visibility notices.
One decision matrix instead of a monthly report
The problem: most brand executives never log into their own GSC or GA4 account, and rely on an agency's periodic summary instead.
Reputation monitored continuously, not reviewed manually
The problem: reviews and ratings across app stores, Google Business Profile, and social media are still checked by hand at most brands.
An internal AI brain for scattered corporate knowledge
The problem: an employee question usually lands on a manager or HR contact who doesn't have the full picture.
Have a process like one of these in mind? Talk to us about what a pilot would actually look like.
One tool-governance mistake worth fixing
Organizations commonly restrict staff to a single sanctioned AI tool, Microsoft Copilot most often, while the actual work would benefit from several different tools used for different tasks. It's now realistic to run an organization-level AI system on dedicated infrastructure, paired with the right access to the right tools for the right tasks, at lower cost and better compliance than the scattered subscriptions most companies buy piecemeal today.
Curious what this would look like inside your own organization? Talk to us for a no-obligation assessment.
What people ask before starting
A different thing. A chatbot answers questions. An agentic system here is wired into a real workflow: it makes a routing or scoring decision, or carries out a piece of work, inside a system your team already runs, the way the Fulcro Lead Orchestrator does for Tata Motors.
No. Client data is used to build and evaluate that client's own system, not to train models used elsewhere.
A pilot on a single workflow typically comes first, with a defined success measure, before any conversation about scaling it further.
The Fulcro Lead Orchestrator is ibs Fulcro's own proprietary platform, licensed by Tata Motors as a real SaaS product. It processes 1.2 million+ leads monthly across five sources, Meta, Google, aggregators, SBI, and Amazon, routing every lead to the right call centre by car model, at a 66.3% success rate.
Contact us to find one workflow worth automating first. We'll assess it honestly and tell you if it's a good candidate before proposing anything larger.