01
Specialised roles
Planner, researcher, executor, reviewer — each tuned for one job instead of one bloated agent.
Agentic AI Solutions
Multi-Agent Systems
Multi-agent orchestration, production-minded.
Orchestrations where specialised agents collaborate — planner, researcher, executor, reviewer — with shared memory, an audit-friendly trail, and reviewer steps before anything customer-facing ships.
Orchestration
Focus
Reviewer step
Safety
Weeks+
Typical pilot
Within 1 hr
WhatsApp reply
Multi-Agent Systems is part of Launchite's agentic AI practice. We build orchestrations when one overloaded prompt isn't enough — specialised roles, shared context with clear scope, and grading that covers the whole path. Message us on WhatsApp to scope your build; planning is free.
Service overview
Engineering multi-agent systems
We build multi-agent systems where specialised agents collaborate: planner, researcher, executor, and reviewer — with shared memory and logs you can actually follow.
Multi-agent is right for longer workflows with clear specialisation boundaries. For short Q&A, a well-scoped single agent usually wins — we'll tell you which path fits.
- Specialised roles
- Weekly demos
- Pilot before full go-live
- One team to message
Business challenges we solve
What keeps multi-agent systems stuck.
01
One mega-prompt that tries to plan, research, act, and review — and fails at all four
02
Agents that step on each other with no clear ownership of steps
03
Shared memory that leaks data across tenants or teams
04
No reviewer gate before customer-facing output
05
Eval coverage that collapses as complexity grows
06
Orchestrations that look great in a demo and die on first edge case
Why choose this service
Three practice lines that matter.
Outcome-focused builds with clear ownership, demos you can see, and the same care we bring to your website.
02
Scoped shared memory
Agents share what they need — with lineage and limits so privacy doesn't collapse.
03
Review before ship
A reviewer step (agent and/or human) before customer-facing or high-risk output leaves the system.
Key features
What ships by default in every engagement.
F·01
Planner agent
Decomposes tasks, routes to specialists, and tracks progress across the run.
F·02
Researcher agent
Pulls from approved docs and tools — with citations when answers need grounding.
F·03
Executor agent
Takes scoped actions — tickets, CRM, drafts — with confirmations where you want them.
F·04
Reviewer agent
Checks output against rules before anything customer-facing goes out.
F·05
Shared memory
Scoped context across agents with a trail of what was read and written.
F·06
Path-level checks
Graded examples across the full orchestration — not only a single agent step.
Benefits & business outcomes
What owners usually care about.
Outcome · 01Less mega-prompt chaos
Cleaner specialisation
Each agent does one job well instead of one prompt failing at everything.
Outcome · 02Fewer oops moments
Safer outputs
Reviewer steps catch bad drafts before customers or clients see them.
Outcome · 03Audit-friendly
Traceable runs
You can see which agent did what — useful for ops and debugging.
Outcome · 04One team owns it
Clear ownership
One Launchite contact for design, pilot, and ongoing tuning.
Development process
Triage. Design. Pilot. Care.
01Week 1–2
Orchestration map
Identify specialisation boundaries, shared state shape, and risk points.
02Week 2–3
Agent design
Role prompts, tools, memory rules, reviewer gates, and graded path examples.
03Week 3–10
Build + pilot
Orchestration build with tracing — piloted beside your team before wider rollout.
04Ongoing
Operate
Path-level tuning, monthly edge-case fixes, kill switch if a role regresses.
Technologies we use
The stack we ship in production.
Layer · 01
Models & channels
Layer · 02
App & data
Layer · 03
Delivery
Industries we serve
Where multi-agent orchestration earns its keep.
V·01
Research & ops
Gather, synthesise, draft, and review — with humans on the edge cases.
V·02
Support & success
Triage, investigate, draft replies, and review before send.
V·03
Sales enablement
Research accounts, draft outreach, and review tone before it goes out.
V·04
Content & knowledge
Research, outline, draft, and editorial review as separate roles.
V·05
Professional services
Briefs, research packs, and delivery drafts with a reviewer gate.
V·06
E-commerce ops
Investigate orders, propose actions, and confirm before refunds or tickets close.
Why Launchite
Built for teams who want agents that ship.
We're not a freelance marketplace. Small senior squads, clear ownership, and the same care we bring to your website — WhatsApp-first, India-friendly.
Pillar · 01
Orchestration, not agent soup
Clear roles and handoffs — not five agents arguing in a black box.
Pillar · 02
Ship in weeks, not quarters
Tight loops, weekly demos, and a pilot on real paths before you scale roles.
Pillar · 03
Review before risk
Reviewer steps and scoped memory so complexity doesn't become a liability.
Pillar · 04
One team across web and AI
Site, WhatsApp, and multi-agent systems under one roof — no vendor ping-pong.
FAQs
The questions we hear most.
Related services
Other practices inside Agentic AI Solutions.
Ready to ship multi-agent systems?
Tell us the workflow on WhatsApp — we'll reply with a clear next step, usually within an hour on working days. Planning is free; NDA-friendly when you need it.