Implementation & Operations
AI Agent Professional Services
Multibot helps businesses implement, operate, and improve AI agents inside real workflows, not just launch a one-off automation project.
We are a company that provides professional services across the full AI agent lifecycle: identifying the right opportunities, designing the agent system, connecting it to business tools, launching it safely, and supporting daily operations after go-live.
Professional services we provide
Agent opportunity discovery
We map SOPs, handoffs, exceptions, systems, and KPI targets so your team invests in agent use cases that are feasible, valuable, and safe to run.
Implementation & integration
We design and configure document, voice, chat, and autonomous agents, connect them to the tools they need, and set the prompts, context, skills, and data flows they depend on.
Governance & controlled rollout
We define approvals, access limits, validation rules, audit trails, and pilot plans so agents can move from sandbox to production without losing operational control.
Managed operations & optimisation
After launch, we help monitor performance, tune prompts and skills, review exceptions, report KPIs, train operators, and expand the agent setup into adjacent workflows.
Implementation Options
Turn-key
Best when a proven workflow already matches your process. We pick the ready-made agent pack, connect your data sources, and deploy with a lightweight script.
- High-volume, common patterns (POD, dental reception, status calling).
- Standard integrations already supported out of the box.
- Teams that need value in days, not weeks.
Configurable
Recommended when integrations, approvals, data mappings, or KPIs need tailoring on top of a proven workflow base.
- Custom integrations and approval rules layered on a proven base.
- Specific KPIs and exception thresholds you want surfaced in the portal.
- Workflows that need a 14-day path from discovery to controlled go-live.
Fully custom
Used for unique processes, regulated environments, new tools, or cross-system orchestration that needs bespoke design.
- Multi-system orchestration with bespoke business rules.
- Regulated workflows that need a tailored governance model.
- New agent capabilities or skills that do not exist out of the box.
Standard phases of every engagement
- 1
Discovery
Map the workflow, success metrics, approvals, escalation rules, and the systems the agent needs to touch.
- 2
Connect
Wire APIs, databases, files, communication channels, or MCP tooling into the configured workflow with the right permission model.
- 3
Configure
Set the agent persona, memory rules, reusable skills, tool access, validation checks, and exception thresholds for live use.
- 4
Sandbox
Run the workflow against real examples, review traces, tighten prompts and rules, and validate outputs with your team.
- 5
Go-live
Launch with live monitoring, human approvals where needed, and clear KPI tracking so the rollout expands safely.
Support from build to business operations
- Workflow discovery and feasibility assessment before implementation starts.
- Agent design across document, voice, chat, and autonomous agent workflows.
- Integrations with CRM, ERP, communications, documents, databases, and internal tools.
- Governance setup with approvals, exception queues, role-scoped access, and audit trails.
- Operational support after go-live, including KPI review, tuning, training, and rollout planning.
Governance built in
- OIDC/SSO and RBAC across every agent and tool.
- Policy-scoped access with approval gates on sensitive steps.
- Full audit trail of reads, writes, hand-offs, and exceptions.
- Admin portal with KPIs, queues, and operator workflows.
Ways to work with us
Discovery sprint
A focused assessment that identifies the best agent opportunities, delivery risks, integrations, controls, and success measures before you commit to build.
Implementation project
A structured delivery engagement for one or more AI agent workflows, covering configuration, integrations, testing, rollout, and handover.
Operations partnership
Ongoing support for live agent systems, including monitoring, exception review, KPI reporting, prompt and skill tuning, and expansion planning.
Build agents that keep working after launch
Tell us where AI agents could support your business operations, and we will help you turn that idea into an implementation and operating plan.