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You've used ChatGPT. You've tried a copilot. They answer questions brilliantly — but when you close the tab, nothing happened. The email wasn't sent. The CRM wasn't updated. The follow-up wasn't triggered.
Agentic AI is different. You give it a goal — "find the 12 leads who match our ICP and haven't been contacted in 30 days, and run an outreach sequence" — and the agent plans the steps, executes them in sequence, calls the tools it needs (CRM API, email platform, calendar), handles exceptions, and reports back on what it did and what needs your attention.
This is not prompt automation or chatbot wrapping. Agentic AI involves genuine multi-step reasoning, persistent memory across tasks, tool invocation, and the ability to recover from errors mid-workflow — the same way a skilled human operator would.
See What Agentic AI Could Automate for You — FreePick a real workflow, press Run. Watch the agent plan, call tools, make decisions and complete the task in seconds.
We don't start coding agents on day one. We start by understanding the workflow — because that's where agentic AI projects fail when they're rushed.
We map the exact workflow the agent will own — step-by-step, with every decision point, exception path, and integration dependency identified. We define what the agent decides alone and what goes to a human. No ambiguity before build.
We select the orchestration framework (LangGraph, CrewAI, Claude Agents API), build the reasoning loop, connect the memory layer, and wire up the tool functions — all built to your specific workflow, not a generic template.
We integrate the agent with your existing systems — CRM, ERP, email, Slack, databases — via authenticated API connectors. The agent can read, write and trigger actions in the tools your team already uses. No new platform required.
We configure review gates — points where the agent pauses, presents its proposed action, and waits for approval before proceeding. Full observability layer with action logs and a monitoring dashboard. Go-live on a controlled rollout.
Select a department to see the specific workflows Arobit has built or can build for you.
Agent researches target companies from a seed list — pulls company size, tech stack, recent news — scores each against your ICP criteria and ranks them before any outreach begins.
For each qualified prospect: agent pulls context, drafts a personalised first-touch email referencing something specific to the company, and sends via your connected mail platform. Not a template blast — individual reasoning per contact.
Agent monitors open rates and reply status. Unopened emails get a follow-up after a configured interval. Opened-but-unreplied get a different message. Replies are routed to the rep with full context pre-filled.
Every prospect interaction — email sent, call logged, meeting booked — is automatically written back to your CRM with the right contact, deal and activity fields populated. Reps focus on conversations, not data entry.
Agent continuously re-scores your pipeline based on engagement signals, firmographic fit and behavioural data — surfacing the leads most likely to convert this week, not the ones most recently added.
Agent identifies warm leads ready for a call, checks rep availability, proposes meeting times via email, handles rescheduling and sends confirmation with a context briefing prepared for the rep.
Agent monitors your operational dashboards or log streams for anomalies. When an alert fires, it diagnoses the pattern against historical context, classifies severity, and routes it to the right person with a summary.
For flagged incidents: agent drafts the initial response or status update, identifies which team members need to be looped in, and creates the incident record — compressing the first 20 minutes of incident response into seconds.
Agent monitors open purchase orders, identifies those approaching due date without confirmation, and sends follow-up messages to suppliers — escalating unresponsive vendors to the procurement manager with full context.
Agent reviews completed task logs against your standard operating procedures, flags deviations, and generates a compliance summary report — without a supervisor manually auditing every entry.
Agent identifies stuck items in a workflow — orders awaiting approval, tickets unassigned for more than N hours — and either resolves them autonomously or escalates with full context and a suggested resolution.
Agent pulls data from your operational tools on a schedule, synthesises it into a structured summary, and distributes it to the right stakeholders — replacing the weekly manual report someone currently builds by hand.
Agent pulls AP aging from your ERP, identifies overdue accounts by tier, drafts personalised payment reminders, sends them via your mail platform, logs the outreach in the ERP, and flags unresponsive accounts for escalation.
Agent continuously monitors transaction feeds for statistical anomalies — duplicate invoices, out-of-policy spend, unusual vendor payments — and creates a flagged review queue with context for the finance team to action.
Agent pulls bank statements and ERP records, performs automated matching, identifies unmatched items, groups them by likely cause, and presents a structured exceptions report ready for the accountant to resolve, not discover.
Agent monitors receivables aging and payment patterns, projects forward cash position using current commitments and seasonal baselines, and alerts the CFO when the projection crosses a defined threshold before it becomes a crisis.
Agent coordinates the month-end checklist across teams — chasing outstanding submissions, tracking completions, flagging blockers, sending status updates — without the finance director manually chasing each department.
Agent aggregates spend data across cost centres, compares to budget, identifies categories drifting over threshold, and generates a structured spend summary distributed to budget owners — automatically, on the schedule you configure.
Agent continuously monitors customer health signals — product usage, support ticket volume, NPS responses, payment history — and flags accounts whose score drops below a defined threshold before a human notices the pattern.
When a health score drops, the agent drafts a context-rich alert for the CSM: what changed, what the account history shows, and a suggested check-in approach — with the draft message ready to review and send.
Agent identifies accounts due for a quarterly business review, drafts personalised outreach referencing the account's recent activity, and routes it to the CSM for one-click review before sending.
Agent reads incoming support tickets, classifies by product area and severity, drafts a first-response for simple queries, and routes complex issues to the right specialist with full context and suggested resolution paths.
Agent monitors usage patterns and contract timelines, identifies accounts showing expansion signals (heavy usage, new team members, new use cases), and surfaces them to the CSM as expansion opportunities with supporting evidence.
For at-risk accounts: agent orchestrates a save sequence — initial check-in, feedback request, escalation to account director if no response — logging every touchpoint and outcome back to the CRM.
No vendor lock-in. Arobit selects the right orchestration framework, reasoning model and integration layer for your specific workflow — not a one-size-fits-all platform.
Multi-step agent orchestration with state management — ideal for complex branching workflows and human-in-the-loop designs.
Anthropic's Claude as the reasoning backbone — strong on nuanced judgment, long-context reasoning and safe action execution.
GPT-4o Assistants with function calling and file retrieval — well-suited for document processing and structured tool use.
Multi-agent systems where specialist agents collaborate — researcher, writer, reviewer — each with defined roles and handoffs.
Low-code workflow orchestration for connecting agentic logic to your existing SaaS tools without custom API development.
For proprietary systems, unusual data shapes or high-throughput requirements — fully custom agentic logic built to your exact specification.
Copilots answer questions brilliantly. Agentic AI executes workflows. Here is the structural difference.
Our AI Strategy Audit identifies the top 3 workflows in your business ready for agentic automation — ranked by impact and feasibility, with a proposed stack and timeline.
Most AI vendors wrap a chatbot and call it agentic. Arobit builds the complete agentic stack: agent logic, tool connectors, memory layer, observability, and human review interfaces. 15 years of building production automation for businesses across 12 industries means we know where agentic AI breaks in the real world — and we design around those failure points from day one.
We build the agent logic, tool connectors, memory store, monitoring layer and human review interface. You get a production-grade system, not a demo wrapped around a chatbot API.
Agents never act without configurable checkpoints. We define — with you — exactly what the agent decides alone and what goes to a human for review, every time.
CRM, ERP, email, Slack, ticketing, billing — the agent connects to the systems your team already uses. No new platform. No migration. No retraining your staff.
Every action the agent takes is logged with a timestamp, reasoning trace and outcome. Full audit trail. Reversible where possible. You can see exactly what the agent did and why.
We know where automation breaks in production — edge cases, exception volumes, user adoption failure, tool rate limits. We design around these from day one, not after the first incident.
You own the agent logic and can extend it. We build on open frameworks — LangChain, Python, standard APIs. If you ever want to move, you take the system with you.
Measured Results
Every result below is client-reported within 90 days of deployment. This is what happens when AI is applied to data you already have.
Procurement team ordering from historical averages. 6–8 stoppages per quarter due to raw material stockouts.
AI demand forecasting on Odoo ERP. Reorder triggers 3 weeks ahead. Stoppages dropped from 7 to 4 in Q1, then 2 in Q2.
Finance team reviewing 400+ invoices manually each month. Duplicate and out-of-policy entries only caught at audit.
AI anomaly detection on SAP B1 flags deviations in real time. $22K in duplicate payments identified and blocked in 60 days.
Sales team only knew a customer was leaving when the renewal was refused. No early warning signals in the CRM.
AI churn scores on Zoho CRM. At-risk accounts surfaced 6–8 weeks before renewal. Proactive outreach reduced churn from 7.1% to 5.1% monthly.
Two operations staff spending 3 hrs/day compiling delivery confirmation reports from WhatsApp and email into ERP manually.
AI extracts and posts confirmations directly into ERP. Daily ops summary auto-generated. Both staff redeployed to higher-value work.
Accounts team chasing invoices manually. Average debtor days: 48. CFO had no forward cash visibility beyond 2 weeks.
AI cash flow forecasting + automated payment reminders. Debtor days dropped to 31. CFO now sees 8-week cash position daily.
What's your before?
Arobit's free ERP AI assessment identifies which of these outcomes is achievable for your business — and maps exactly what it takes to get there — before you spend a rupee.
Show Me My After — Free Assessment →These are the measurable shifts businesses see in the first 90 days after a well-built agentic pipeline goes live.
Your agentic pipeline doesn't take weekends. Outreach goes out on Saturday. Follow-ups fire at midnight. AP chasing happens at 2am. The workflow runs on your schedule, not your team's availability.
Tasks that required a human to move between four systems, make a decision and write something now take seconds. Your team's time moves to work that genuinely needs human judgment.
Agents don't forget to follow up. They don't skip a step because it's Friday. Every lead gets chased. Every overdue invoice gets a reminder. Process consistency that is impossible to maintain manually at scale.
Doubling the number of leads to follow up, invoices to chase or tickets to triage doesn't require doubling the team. The agent scales with the workload — headcount stays constant.
Agents monitor continuously and flag issues before they become problems — the at-risk customer before they churn, the supplier before they miss a deadline, the anomalous transaction before the month closes.
Every step the agent took, every decision it made, every message it sent is logged with a timestamp and reasoning trace. Compliance, audit, and performance review are built-in, not bolted-on.
Questions we hear from CTOs, ops leads and founders before they start an agentic AI project.
Book a free AI Strategy Audit. We'll map your top 3 workflows ready for agentic automation, propose the stack, and give you a realistic timeline — no sales pitch, no commitment required.
No commitment. No hard sell. Just a clear-eyed assessment of what's possible for your business.