Agents read the 500-page regulation. Scan 51 systems for PII. File the return. Triage the ticket. Draft the memo. They pick which tool to call next and only bring you what needs your call. Same tech behind Dcomply — India's DPDP-ready compliance platform.
An AI agent is a language model plus a set of tools it's allowed to use, plus a goal. You give it something like "close out this compliance filing" or "reconcile these two spreadsheets" and it plans the steps, picks the tools (an API, a database, a search, a file writer), executes them one by one, checks its own output, and only comes back to you when the job's done or when it needs a decision it can't make.
Chatbots have one loop: user talks, bot replies. Agents have many loops: think, act, observe, think again. Which is why they're slower and more expensive per query — but capable of finishing work a chatbot can't touch.
DPDP Act 2023 changed everything. Dcomply is our answer — compliance agents that read regulations, scan data, and file returns without a human in every loop.
Where is your PII? S3, GDrive, Postgres, Slack messages, WhatsApp exports, old CSVs on someone's laptop. Manual audits take weeks and miss things.
Each connector is an agent. Scans its source, classifies data, flags PII (Aadhaar, PAN, GSTIN, UPI, bank accounts), and reports. Another agent handles DSR (Data Subject Request) fulfilment end-to-end.
DPDP consent, DSR, PII discovery, breach notification, GSTR filings, ISO 27001 audit trail, sector-specific rules. The agents do the scanning, filing, and reporting. DPO signs off on the edge cases.
We won't sell you an agent for something an agent isn't ready to do yet.
Read a regulation, cross-check your data, flag gaps, draft the filing, log the trail. Works for DPDP, GST, RBI KYC, SEBI, ISO 27001, sector rules.
Read invoices, contracts, IDs, medical reports. Extract structured data. Cross-check against your DB. Route by outcome. Handles handwritten, scanned, and multi-language.
Read the ticket. Search past resolutions. Try to answer. If it can't, categorise + tag + route to the right queue with context. Cuts first-response time 60–80%.
Research the prospect. Pull context from CRM + LinkedIn + past emails. Draft a personalised outreach. Schedule follow-ups. Escalates to human on positive replies.
Match rows between two systems that don't quite agree. Bank statements vs. ledger. GSTR-2A vs. purchase register. Vendor list vs. payment records. Flag mismatches with reasoning.
Pull data from 5–10 sources, cross-check, summarise into a report. Monthly compliance summaries, competitor tracking, market briefs. Same shape as Dcomply's monthly reports.
An agent that can call APIs can also delete rows, send bad emails, or file a wrong return. The four guardrails below are the ones we ship on day one — because we're the team that runs it after launch, and we don't want the on-call ping.
Priced by phase. No surprises.
We map the task, the tools, the risk points, and the human-approval gates.
One agent, one workflow, dry-run only. You watch it work on real data.
Full integrations, guardrails, audit logging, human-in-loop, monitoring, staging + prod.
Model API costs, monitoring, tool updates, quarterly evals, incident response.
Book a 30-minute call. Walk us through the work you'd like an agent to do. We'll tell you if it's a fit, what it costs, and what your team still needs to own.