Conversational Support Deflection Offer (10-15 days)
A fixed-scope engagement that deploys a conversational agent on one client support channel, wires it into the existing ticketing and CRM stack, and hands over a measured deflection baseline with a documented human handoff path. Time: 10-15 days.
By InnovaAI ResearchPublished
How do you implement it?
Conversational Support Deflection Offer (10-15 days)
A fixed-scope engagement that deploys a conversational agent on one client support channel, wires it into the existing ticketing and CRM stack, and hands over a measured deflection baseline with a documented human handoff path.
- Client grants read/write API access to the ticketing or CRM system that owns the support queue, plus a sandbox copy for testing. At least 90 days of historical ticket transcripts or chat logs exist in a usable format. One named client-side escalation owner is available for a 30-minute daily review during build. The chosen platform's commercial terms are agreed before day one, including per-resolution or per-seat pricing. A brand voice reference exists: tone guide, approved macros, or 20 sample agent replies.
- 1.Pull the last 90 days of tickets and tag each by intent, channel, and resolution path
- 2.Rank intents by volume times handling cost to pick the first automation target
- 3.Confirm the escalation owner and the client's definition of a failed interaction
- 1.Map the current escalation path from bot to human, including queue and SLA handoff
- 2.Document every system the agent must read from or write to
- 3.Agree the deflection metric the client will judge the engagement on
- 1.Draft the agent's scope: what it answers, what it refuses, and what it routes
- 2.Write 15 to 25 test utterances per in-scope intent, including adversarial phrasing
- 3.Set the confidence threshold below which the agent must hand off
- 1.Stand up the agent in the chosen platform using the client's existing SOPs and macros
- 2.Connect the knowledge source and confirm retrieval returns current policy text
- 3.Load the brand voice reference and review the first 20 generated replies
- 1.Wire the agent into the ticketing system so every session creates a record
- 2.Build the handoff trigger that passes full transcript and intent to a human queue
- 3.Test the write path against the sandbox and confirm no duplicate tickets
- 1.Run the full test utterance set and log every wrong or partial answer
- 2.Fix retrieval gaps and add refusal language for out-of-scope requests
- 3.Re-run the set and record the pass rate before and after
- 1.Simulate 200 to 500 conversations against the agent to surface edge cases
- 2.Review the worst 20 transcripts with the client's escalation owner
- 3.Freeze the agent configuration for the pilot window
- 1.Launch on the single chosen channel with a visible human-contact fallback
- 2.Instrument session logs, handoff rate, and containment rate from hour one
- 3.Brief the client's human agents on what the bot now handles and what it does not
- 1.Read the first 48 hours of transcripts and tag every failure by cause
- 2.Patch the top three failure causes and redeploy
- 3.Check that handoffs are reaching the right queue within the agreed SLA
- 1.Compare containment and handoff rates against the pre-launch baseline
- 2.Calculate cost per resolved conversation before and after
- 3.Draft the expansion plan for the next channel or intent cluster
- 1.Write the runbook covering agent edits, escalation rules, and rollback
- 2.Record a 20-minute walkthrough of the admin console for the client team
- 3.Hand over the transcript review cadence and the weekly metric template
The agency is not selling software access, it is selling a measured reduction in cost per resolved conversation, which is why the fee holds even when the underlying platform is cheap. A single support seat costs a client $3,000 to $5,000 a month fully loaded, so deflecting even 30% of a five-seat queue pays the engagement back inside two quarters. The retainer is defensible because containment rates decay as client policies change, and someone has to own the transcript review that keeps them from drifting.
- Intent and volume analysis of the last 90 days of support conversations
- Configured conversational agent scoped to the agreed intents, with documented refusal and handoff rules
- Live integration into the client's ticketing or CRM system with full transcript capture
- Baseline versus post-launch report covering containment rate, handoff rate, and cost per resolved conversation
- Operations runbook and admin walkthrough recording for the client team
The agent is live on the agreed channel, every session writes a complete record into the client's ticketing system, and the client has signed off on a report showing containment and handoff rates against the pre-launch baseline.