Below are example deployments and typical results — patterns drawn from real workflows, anonymised for privacy.
Examples below are anonymised; metrics shown are typical ranges and depend on workflow complexity.
EU-based team in Tallinn, Estonia — working with clients worldwide.
Get a suggested scope in 24–48 hours.
We'll review one workflow and propose an agent-based solution.
Ranges based on observed patterns. Final results depend on workflow complexity, data quality, and volume.
35–55%
Avg. ticket deflection
typical range; depends on query volume and knowledge base quality
< 1 min
Time-to-first-response
typical range for automated handling
+10–25%
Lead → meeting booked
typical uplift; varies by ICP definition and volume
20–40%
Ops cycle time reduced
typical range for approval and onboarding workflows
Metrics are indicative ranges observed across similar deployments and should not be taken as guarantees.
Real problems, real patterns — anonymised for privacy.
The problem
Support teams spend 60–70% of their effort answering the same 20 questions, leaving complex tickets under-served and response times high.
Agent solution
Before → After
What changed
The support team now handles only the edge cases that genuinely need human judgment — with full conversation history already attached. Routine volume runs automatically.
The problem
High volumes of 'where is my order?' queries create queue backlogs and delay resolution of the disputes that actually matter.
Agent solution
Before → After
What changed
Routine status queries are resolved around the clock. Escalations arrive with structured summaries so agents resolve them in one touch rather than several back-and-forth exchanges.
The problem
Sales reps spend hours on discovery calls with poor-fit leads, while high-intent inbound prospects wait too long for a first response.
Agent solution
Before → After
What changed
Qualified leads get a meeting booked within minutes of enquiring. Reps spend time on conversations that are actually likely to convert. CRM records are updated throughout, automatically.
The problem
Reps forget to log calls, deal stages go stale, and follow-up timing depends on individual discipline rather than a reliable system.
Agent solution
Before → After
What changed
CRM hygiene becomes a system property, not a discipline problem. Reps get clear next-step prompts; managers get accurate pipeline data without chasing updates.
The problem
New-hire onboarding involves repetitive manual steps across HR, IT, and management — causing delays, inconsistency, and a poor day-one experience.
Agent solution
Before → After
What changed
Onboarding becomes a consistent, trackable process rather than a checklist that depends on HR availability. New hires get timely access, instructions, and check-ins from day one.
The problem
Approval requests get lost in email threads and Slack DMs, creating bottlenecks and leaving no clear audit trail for compliance or accountability.
Agent solution
Before → After
What changed
Approval workflows stop relying on people remembering to follow up. Every request has a clear owner, status, and history — visible to anyone who needs to see it.
We agree on KPIs before any work begins. Here's the framework we use across all deployments.
Percentage of queries fully resolved by the agent without human involvement. Primary metric for Support agents.
Proportion of interactions handed off to a human. Lower is generally better; we also track escalation quality and context completeness.
How quickly the agent acknowledges and begins processing a request — measured against the pre-deployment baseline.
Average time from first contact to resolution. Tracked separately for agent-handled and human-escalated cases.
Percentage of inbound leads that result in a booked discovery call. Measured before and after deployment for direct comparison.
End-to-end time for a recurring operational process — approval, onboarding, report cycle — compared to the pre-agent baseline.
Regardless of which agent you choose, the delivery process is always structured, transparent, and documented.
We define what success looks like in measurable terms before any work begins.
Your docs, FAQs, and structured data are prepared for RAG retrieval or structured content lookup.
Confidence thresholds and escalation rules ensure uncertain cases always reach a human with full context.
Every action the agent takes is logged. Every integration is documented and reversible.
We test against real edge cases before launch and iterate based on your review.
Post-launch performance tracking with monthly reviews and continuous optimization.
Still have questions? Email us at contact@flowbook.ee
Most MVP agents are live within 7–14 business days for standard workflows. More complex builds with multiple integrations or custom tools may take 3–4 weeks. We provide a clear timeline at scoping — before any work begins.
We need API or integration access to the tools the agent will interact with, plus any existing documentation (FAQs, process guides, knowledge base content). The discovery session takes 60–90 minutes. Your team reviews and approves all logic before we build.
Pricing is split into a one-time setup fee (scoping, build, integration, testing) and a monthly retainer (monitoring, optimization, support). Both are fixed-scope and agreed in writing before work begins. Final pricing depends on the number of integrations, workflows, and action volume.
We are based in Tallinn, Estonia and operate under EU privacy standards. Data flows are documented, encrypted in transit and at rest, and we can sign a Data Processing Agreement (DPA) on request. We do not use your data to train any AI models.
Yes. Most clients start with a single, well-defined workflow — a pilot that proves value before expanding. This limits risk and gives your team time to see how the agent performs in a real environment before committing to more.
We do, as part of the monthly retainer. This includes performance monitoring, prompt adjustments, integration updates, and periodic reviews based on your KPIs. You will never be handed a black box and left alone.
The agent escalates to a human via your chosen channel (Slack, helpdesk ticket, email) with full conversation context attached. You define confidence thresholds and escalation routing during setup. Nothing gets silently dropped.
You do. Every agent we build ships with full documentation — workflow maps, prompt logic, integration notes, and handover materials. If you want to bring it in-house or switch providers, everything is documented and transferable.
Tell us about one workflow. We'll suggest how an agent can handle it, give you a scope, and show you what measurable outcomes to expect.
Get a proposed scope in 24–48 hours.
We'll review one workflow and suggest an agent-based solution.
Prefer email? contact@flowbook.ee