Custom AI Agent Development
Off-the-shelf copilots don’t know your business.
We build the one that does.
Production-ready bespoke AI agents for your specific workflow — not generic copilots, not templated chatbots, not productized back-office bots. You own the code, the prompts, the data, and the IP.
Chatbots converse. Agents act.
A chatbot answers “Where’s my order?” with a link. An agent checks the order system, triggers a refund if appropriate, and writes back to your CRM. Chatbots are scripted; agents reason with guardrails and complete real work.
Off-the-shelf copilots don’t know your domain, your data model, or your internal jargon. When a workflow is unique and business-critical, you want your own agent — not a vendor’s black box.
Meanwhile, your team still does this manually
- SDRs researching accounts and drafting outreach
- AP clerks matching invoices across systems
- Support engineers triaging and diagnosing Tier-2 tickets
- Analysts pulling data across 6 tools to answer one question
- Recruiters screening and scheduling 50 candidates a week
What we build
Bespoke agents across sales, support, finance, research, people, and internal tooling.
Sales & revenue agents
SDR research (account intel, firmographics, personalized outreach), lead qualification and routing, quote/proposal generation, and CRM hygiene (dedup, enrichment, activity logging).
Support & CX agents
L2 support with tool access (order lookup, refund initiation, account updates), ticket triage beyond Tier-1 templates, customer health monitoring with proactive alerts, and feedback analysis.
Finance & operations agents
Specialized AR/AP agents with domain-specific logic, contract negotiation assistants, treasury and cash-flow agents, and audit-ready reconciliation for niche ledgers.
Research & analyst agents
RFP response drafting, competitive intel monitoring with summarization, market research synthesis, and investment memo drafting.
People / recruiting agents
Candidate screening with structured scoring, interview scheduling across time zones, and onboarding task orchestration.
Internal-tool & analyst agents
“Ask your data” analyst agent over your warehouse, internal Q&A over SOPs and policies, and meeting summarizer + action-item tracker.
Every agent ships with
- Eval harness — success cases, edge cases, adversarial inputs
- Observability dashboard — what it did, why, token spend, error rates
- Guardrails — deterministic tool calls + HITL on high-risk steps
- Runbook + handoff docs — architecture, prompts, config, deployment
How we build
Stack picked per project: LangGraph, CrewAI, OpenAI/Claude Agent SDK · models from Anthropic, OpenAI, Google, Mistral, Llama · deploy to your cloud.
Week 0 — Scoping call (free)
Workflow, success metrics, constraints, stack.
Week 1 — Agent Feasibility Review
Architecture, cost/timeline estimate, go/no-go.
Weeks 2–7 — Build
Working agent by week 4. Weekly demos. Iterate.
Week 8 — Deploy
Shadow → HITL → autonomous. Monitored go-live.
Ongoing (optional)
Retainer for tuning, coverage expansion, and model updates.
Why MeghRoop
Own your agent, own your data
No per-conversation metering, no lock-in, and you can move to open models the day provider pricing shifts.
Product-tested team
We run agents at scale in production — not a pure services shop learning on client bills.
Full-stack in one team
Prompt engineering, backend, integration, and eval — no handoffs.
No framework lock-in
Claude, GPT, Gemini, Llama. LangGraph, CrewAI, OpenAI Agents SDK. We pick per project.
India delivery economics
50–60% the cost of US-only firms, same engineering stack.
How we compare
Production-grade agents vs enterprise consultancies vs freelance devs.
| MeghRoop | Enterprise consultancy | Freelance dev | |
|---|---|---|---|
| Timeline | 4–8 weeks to first agent | 12–24 weeks | Unpredictable |
| Team | Engineers who ship AI | Partners + junior MBAs | Single dev, no AI ops |
| Deliverable | Agent + eval harness + runbook | Architecture doc + recommendations | Code only |
| Eval & testing | Full test suite, every agent | Varies | Manual only |
| Production support | Observability + retainer available | Separate support contract | Best effort |
Outcomes you can expect
When a custom agent is the right call
Custom builds make sense when the workflow is:
Unique to your business, domain, or data model
Deeper than a template — custom logic, proprietary reasoning, internal jargon
Business-critical enough that you want your own IP, not a vendor’s black box
Engagements
Fixed-fee, fixed-timeline. No T&M.
Feasibility Review
1 week
Scopes your workflow, prototypes the core logic, and delivers a go/no-go recommendation.
Agent build
Fixed fee
4 weeks for a productized sprint; 6–10 weeks for complex bespoke builds with deep integrations.
Retainer
Monthly
Tuning, coverage expansion, and model-migration support included.
Things worth actually answering.
Build the agent that knows your business.
Start with a 1-week Feasibility Review. We scope the workflow, prototype the core logic, and give you a straight go/no-go.