The whole picture
One agent brain across every function and channel — measured in your P&L.
Sales, support, collections and operations don't move the needle as isolated pilots. Callaro deploys AI across the whole journey — live in weeks, tied to topline and bottomline.
The shift
One pilot in a corner is not a transformation.
Most companies run a single AI experiment — a chatbot on the website, one outbound calling test — watch it work in isolation, and then stall. The pilot never touches the P&L, so no one can say whether it made money or saved it, and the momentum quietly dies.
Real transformation looks different. It ties every deployment to a business outcome you already measure — revenue, conversion, cost-to-serve, recovery, cash — and it puts AI to work across functions, not in one silo. Sales, marketing, post-sales, support, collections and operations each get agents that take real action inside your systems.
The hardest part is not the technology — it is adoption. AI only moves outcomes when your teams actually use it, trust it, and build their workflows around it. That is why we treat change management and enablement as a first-class part of every project, not an afterthought.
Where we deploy AI
AI across every function — not one corner of the business.
We map the highest-leverage outcomes in each function, then deploy agents that qualify, follow up, resolve and recover — on the right channel, wired to your CRM and telephony.
Sales
Reach every lead in seconds and keep chasing until it converts or closes out — without adding headcount.
- Speed-to-lead: call and message new leads within seconds of a form fill
- AI SDR qualification against your criteria before a rep gets involved
- Relentless follow-up cadences across calls and WhatsApp
- Meeting and site-visit booking straight into your calendar
Marketing
Turn dormant databases and campaign lists into pipeline with outreach that actually gets a response.
- Lead reactivation across aged and cold databases
- Campaign and offer outreach to targeted cohorts
- Surveys and feedback capture at scale
- Event invitations, reminders and follow-ups
Post-sales / CX
Protect and grow existing revenue with proactive onboarding, renewals and win-back journeys.
- Onboarding and activation nudges for new customers
- Renewal reminders and upsell / cross-sell prompts
- NPS and feedback collection with smart routing
- Win-back journeys for lapsed and at-risk customers
Support
Resolve the routine 24/7 and hand off cleanly, so your team only touches what truly needs a human.
- 24/7 tier-1 deflection for common questions
- Triage and intent detection before routing
- Order, status and account queries answered instantly
- Warm handoff to an agent with full context
Collections / Finance
Recover more, sooner, with consistent reminders and structured promise-to-pay conversations.
- Payment reminders across pre-due and overdue stages
- Promise-to-pay capture and confirmation
- Recovery outreach on aged and broken-promise buckets
- Dispute detection and routing to the right desk
CRM & Operations
Keep the system of record clean and the busywork automated, so every downstream team runs on good data.
- Data capture and CRM hygiene from live conversations
- Writebacks: stages, notes, dispositions and outcomes
- Workflow automation across routine back-office steps
- Verification and confirmation calls at scale
Channels & technology
Every channel, wired into your stack.
We meet your customers on the channel they answer, and we give agents the ability to act inside the tools your team already runs on.
Conversational channels
Voice / call
Natural inbound and outbound phone calls that talk, decide and finish the job — live in production today.
WhatsApp
Templated and conversational WhatsApp for reminders, follow-ups, documents and two-way journeys.
Chat
Website and in-app chat that deflects the routine and hands off with full context when needed.
RCS
Rich, branded messaging with images, buttons and carousels for high-intent campaign outreach.
SMS / messaging
Reliable fallback and reach on any handset for reminders, OTPs, links and confirmations.
AI & integration engineering
Custom Claude & OpenAI integration
We integrate the right LLM per use case — Claude, OpenAI or others — tuned to your domain, tone and languages, and swappable as models improve.
MCP server creation
We build MCP servers so agents can securely read and write in your tools — look up a record, book a slot, raise a ticket, update a stage — and take real action mid-conversation, not just talk.
CRM, telephony & system integration
Deep wiring into your telephony (Twilio, Plivo, Exotel, Ozonetel, Mcube, Knowlarity) and CRM (HubSpot, Salesforce, Zoho) so outcomes land where your team already works.
Orchestration & guardrails
Goals, scripts, variables, escalation rules and compliance guardrails that keep every agent on-policy across channels and journeys.
Transparent per-minute cost
See the exact per-minute model and channel cost before you launch, then tune the stack to protect your cost per outcome.
Why MCP and custom LLM integration matter
A chatbot that can only talk is a demo. Transformation needs agents that act. By building MCP servers and custom Claude / OpenAI integrations against your systems, we let an agent securely pull the right context and take the next step — create the lead, book the visit, log the promise-to-pay, update the CRM stage — inside your stack, under your guardrails. That is the difference between AI that answers and AI that moves outcomes.
The methodology
The Callaro Outcome Loop
A structured method that turns AI into measurable outcomes.
Not a slow enterprise consulting engagement. A tight, repeatable loop that moves from outcomes to a live pilot in weeks, then scales across functions — with adoption engineered in, because that is where most transformations fail.
Phase 0
Discover & map outcomes
We start from the P&L, not the tech. Together we identify the highest-leverage outcome in each function, baseline where it stands today, and audit the data, systems and telephony we will need to move it.
- Outcome workshop: rank opportunities per function by leverage and effort
- Baseline the current metrics we intend to move
- Audit data quality, CRM, telephony and channel readiness
- Agree the success metrics and the pilot cohort
Phase 1
Design
We design the agents and the architecture around the outcomes we picked. That means goals, scripts, guardrails, variables and languages for each agent, the right model per use case, a channel plan, and the integration and MCP architecture.
- Agent design: goals, scripts, guardrails, variables, languages
- Model selection per use case (Claude, OpenAI and others)
- Channel plan across voice, WhatsApp, chat, RCS and SMS
- Integration and MCP architecture for your systems
Phase 2
Build & integrate
Our team builds the agents and the plumbing that lets them act. We stand up custom Claude / OpenAI integrations, create the MCP servers, wire your CRM and telephony, and put compliance guardrails in place before anything goes live.
- Build and configure the agents for each function
- Custom Claude / OpenAI integrations and MCP servers
- CRM, telephony and system wiring with writebacks
- Guardrails, consent and compliance controls
Phase 3
Pilot
We launch a controlled pilot on a real cohort and measure it against the baseline we set in Phase 0. Then we tune — scripts, models, cadences, handoff rules — until the numbers prove the outcome before we scale.
- Launch a controlled pilot on a real cohort
- Measure against baseline on the agreed metrics
- Tune scripts, models and follow-up cadences
- Go / no-go decision backed by real data
Phase 4
Where transformations are wonDrive adoption & AI culture
This is where transformations are won or lost. Technology that no one uses moves nothing, so we run a real change program: enablement and training, human-in-the-loop workflows, internal champions, and clear rules for when AI acts and when a person steps in.
- Enablement and hands-on training for the teams involved
- Human-in-the-loop workflows people trust and actually use
- Internal champions who own adoption inside each function
- Change management so AI becomes part of how work gets done
Phase 5
Scale & orchestrate
With the pilot proven and teams on board, we roll out across more functions and channels. Agents share context and hand off across journeys, so a lead, a customer and a payer are recognised wherever they show up.
- Roll out across functions and channels in sequence
- Shared context and memory across agents
- Cross-journey orchestration and clean handoffs
- Capacity and telephony scaling for volume
Phase 6
Measure & optimize
We keep the loop closed. Live dashboards tie performance to topline and bottomline, QA runs on real conversations, and we continuously improve scripts, models and cadences while keeping cost per outcome under control.
- Outcome dashboards tied to topline and bottomline
- QA and quality flags on real conversations
- Continuous improvement of scripts, models and cadences
- Cost control and per-outcome economics
How the method plays out
Case snapshot · Higher educationA leading university transforms admissions with AI.
A leading university faced a familiar admissions crunch: thousands of enquiries and merit-list candidates, a short window to convert them, counsellors buried in repetitive calls, and applicants who needed answers in their own language before they would commit.
What we deployed
AI voice agents across admissions calling
Agents called every enquiry and applicant fast, answered common questions, and qualified genuine intent before routing to a human counsellor.
Merit-list and campaign cohorts
As each merit list dropped, agents ran the cohort immediately — confirming interest, explaining next steps and nudging fence-sitters while the window was open.
Multilingual counselling
Conversations ran in the applicant's own language, so families engaged instead of dropping off at the first hurdle.
Relentless, structured follow-ups
Missed calls, callbacks and document reminders ran on automatic cadences until each applicant reached a clear next step.
Integrated with the CRM
Every disposition, stage change and note wrote back into the admissions CRM, so counsellors always picked up warm and in context.
Outcomes
Last 30 days
0
Calls placed
0%
Connect rate
0
Meetings booked
Meetings trend
weekly
How it moved outcomes
- Faster enrolment velocity — candidates moved through the funnel while intent was high
- Higher counsellor productivity — humans spent their time on genuinely warm applicants
- Lower cost-per-enrolment — routine outreach handled by agents at a fraction of manual cost
- Better applicant experience — instant answers, in-language, at any hour
Illustrative of how the method plays out in practice. Outcomes vary by institution, cohort and baseline.
Engagement model
An outcome-driven engagement, built to move fast.
You get a partner accountable to your numbers, a team that builds and deploys, and the enablement to make it stick — in weeks, not quarters.
Outcome-driven engagement
Scoped and aligned to the KPIs you already track — revenue, conversion, cost-to-serve, recovery and cash — so success is measured the way you measure the business.
Dedicated build + deploy team
A hands-on team that designs, builds, integrates and launches your agents — not a slide deck and a handover.
Custom integration + MCP engineering
Custom Claude / OpenAI integrations, MCP servers and CRM / telephony wiring so agents act securely inside your stack.
Adoption & enablement program
Training, human-in-the-loop workflows, champions and change management so your teams actually use what we ship.
Live outcome dashboards
Real-time visibility into performance against topline and bottomline, with QA and cost per outcome in one place.
Fast time-to-value
A live pilot on a real cohort in weeks, then a staged rollout across functions and channels — momentum, not a multi-quarter wait.
Ready to transform outcomes with AI?
Book a transformation consult and we will map the highest-leverage outcomes across your functions — and how fast we can move them.
Book a transformation consult