Expert help to get more from Botlit
Botlit is a product you can run yourself — but you don't have to do it alone. Our team helps you adopt, build, govern, and operate your agent workforce, and we deliver done-for-you outcomes powered by the platform.
Adopt and get more from the product
Onboarding, setup, consulting, governance, and training — we help your team build and run agents on your own Botlit workspace, then hand off the playbooks so you stay self-sufficient.
Done-for-you outcomes on the platform
Prefer the result without the build? We deliver managed agents, embedded and white-label assistants, and custom development as an outcome — built and operated on Botlit by the people who know it best.
A full catalog of Botlit services
Every service is grounded in what the platform actually does — from your first bot app to a governed, operated fleet.
Custom AI agent & bot development
We design and build your bot apps and the specialist agents behind them — system prompts, model bindings, routing strategy, and published versions — so you launch on a foundation you can roll back and iterate on with confidence.
- Bot app + agent design with app→agent routing (single, round-robin, custom)
- System-prompt authoring and model binding per agent
- Versioning with changelogs and a clean rollback path
- Buckets, visibility controls, and a tidy starting fleet
- Reusable templates so your team can clone the pattern
Knowledge base & RAG setup
We turn your documents into a managed retrieval corpus — ingestion, chunking strategy, embeddings, and a per-knowledge-base vector collection — then validate retrieval quality with semantic search before anything goes live.
- Document ingestion and the right chunking strategy (fixed, recursive, semantic, markdown, code)
- Embedding configuration and per-KB vector collection setup
- Retrieval validation with real queries using semantic search
- Reusable retrieval profiles (vector / hybrid / BM25 recipes)
- Index lifecycle and rebuild runbook for your team
Channel integration
We connect your agents to the places people already are — web, Slack, Teams, Discord, WhatsApp, voice, and webhooks — with connectors, routes, and the platform app registration that makes end-to-end delivery work.
- Channel connectors and route mapping to the right bot app
- Per-tenant platform app setup (Slack app, Teams bot, and more)
- Instant-ack inbound webhooks; background agent execution
- Outbound delivery wired into the shared conversations inbox
- Webhook and voice integration against your own systems
Conversational AI strategy & consulting
We help you decide what to automate first, which agents to build, and how to sequence a rollout — a pragmatic plan tied to the capabilities that ship today and a clear-eyed view of what is on the roadmap.
- Use-case discovery and prioritization workshops
- Agent and bot-app architecture for your domain
- Bring-your-own-model provider strategy across 11 provider types
- Rollout roadmap separating shipped capabilities from roadmap items
- Success metrics tied to per-execution cost and outcome telemetry
Governance, policy & guardrails setup
We configure the unglamorous things that make agents deployable in a regulated org — RBAC, policy definitions across seven types, tool-risk levels, and audit-ready execution records — so trust is structural, not aspirational.
- Enforced RBAC roles for humans and machine credentials
- Policy definitions: content, tool, data, response, budget, rate-limit, retention
- Tool-risk classification and A2A trust-level configuration
- Audit trail and per-execution cost-visibility review
- Credential vaulting through the platform integrations service
Managed agents & bot operations
We run your agent workforce for you — monitoring executions, watching token spend, tuning prompts and routing, versioning safely, and keeping channels healthy — so your team gets the outcomes without the day-to-day operational load.
- Execution monitoring with status, token, and cost dashboards
- Prompt, routing, and retrieval tuning over time
- Safe version publishing and rollback on regressions
- Channel and connector health checks
- Periodic review of agent quality and spend
Model routing, prompt engineering & evaluation
We register your providers and models, engineer and version the prompt templates that standardize agent behavior, and build an evaluation loop so quality and cost are measured — not guessed.
- Provider and model registration with connection tests
- Variable-parameterized prompt templates with versioning
- Prompt engineering for accuracy, tone, and safety
- Evaluation harness against representative queries
- Cost and token analysis to pick the right model per agent
Embedded & white-label agents
We embed Botlit-powered agents inside your own product or your clients’ brands — API-first through the Workspaces API, packaged for reuse, and distributable via the store as linked or forked installs.
- API-first integration through the Workspaces API
- White-label agents per client, each isolated in its own workspace
- Store packaging for apps, agents, prompts, skills, and policy bundles
- Linked installs that track upstream or forked copies you own
- MCP and A2A wiring for tool-using and collaborating agents
Training & enablement
We get your team self-sufficient — hands-on sessions across the Agent Builder, knowledge bases, channels, policies, and the execution console — plus the playbooks and templates that let you keep building after we hand off.
- Role-based workshops for builders, operators, and admins
- Hands-on Agent Builder and knowledge-base labs
- Governance and execution-console walkthroughs
- Reusable templates, prompt libraries, and runbooks
- Office hours through the first production rollout
From documents to grounded answers
Our most-requested engagement: we take the knowledge you already have and turn it into a retrieval corpus your agents can answer from — ingestion, chunking, embeddings, a per-knowledge-base vector collection, and retrieval profiles validated with real queries before launch.
- Five chunking strategies matched to your content
- Per-KB vector collections with an explicit index lifecycle
- Retrieval quality proven with semantic search, not assumed
Managed agents, run by people who built them
Hand the operational load to us. We monitor every execution, watch token spend, tune prompts and routing, publish versions safely, and keep your channels healthy — so you get dependable outcomes powered by Botlit without standing up an internal ops team.
- Execution, cost, and quality monitoring on your fleet
- Continuous prompt, routing, and retrieval tuning
- Safe versioning and rollback when behavior regresses
Bespoke agents, integrations, and workflows
When templates aren't enough, we build to your spec — custom agents and routing, MCP tool connections, A2A collaboration, embedded assistants, and FluidGrids visual workflows that compose agents into larger automations.
- Custom agents and routing logic
- MCP tool and A2A wiring
- Embedded & white-label assistants
- FluidGrids workflow automations
How we engage
A simple, honest engagement model — Discover, Plan, Build, Operate.
Discover
We map your use cases, knowledge sources, channels, and governance needs — and separate what ships today from what is on the roadmap.
Plan
We design the agent and bot-app architecture, model and provider strategy, retrieval approach, and the RBAC and policy posture to match.
Build
We build and version the agents, ground them in your knowledge, wire the channels, and validate quality and cost before anything goes live.
Operate
We launch, monitor executions and spend, tune over time, and enable your team — or keep running it for you as a managed service.
Let's build your agent workforce together
Whether you want help adopting Botlit or a done-for-you outcome on the platform, our team is ready. Tell us what you're trying to achieve.
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