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Your front office runs on the best contact centre, the best CRM, the best marketing automation. Each has its own AI, and none of them share it. The Front Office OS is one intelligence layer above them all that makes every application beneath it smarter, without replacing any of them.
KRCKonnect Research Cloud is the first layer of the Front Office OS.
Why a Front Office OS
Over the last decade, enterprises made individually rational technology decisions that created a collectively irrational outcome. Each application is excellent at its function. None of them shares intelligence. Adding AI to each one has not fixed this. It has produced smarter silos.
ONE-VENDOR AI
AI built into a single suite works well inside that suite. But it only sees that suite's data, and it asks you to move everything into it.
Everything else has to move in, or stay outside.
ENTERPRISE REALITY
Real front offices run the best application for each job. Every one has built AI, and every one will build MCP connections. Someone has to orchestrate them.
A smartphone operating system did not build every app on your phone. It built the layer that made all of them more powerful and more connected. The Front Office OS does the same for the applications your customers never see.
Beyond insights
Insight tells you what is happening. Orchestration changes what happens next. See how the Front Office OS finds the right customers, decides who gets what, and acts through the systems you already run.
"Show me everyone who complained about baggage in the last 3 months, across calls and every non-voice channel. Check who we can reach on WhatsApp, and prepare outreach through marketing automation."
Baggage complaints across call transcripts, email, chat, WhatsApp, social and reviews, grouped into delayed, damaged and lost.
Each complaint matched to one passenger by booking reference, loyalty ID, email or phone. Duplicates across channels merged.
Bag status, loyalty tier and WhatsApp consent checked. Anyone escalated to the regulator or legal is excluded.
Messages tailored to each segment, miles credited, unresolved bags escalated, top-tier flyers routed to a person.
Replies become tickets. Sentiment and rebooking tracked for 30 days.
Who gets what
529 WhatsApp messages across 2 templates
The win: your highest churn-risk flyers, recovered. A complaint list becomes a retention programme.
Illustrative figures.
"Which loan customers mentioned prepaying, foreclosing or moving their loan to another lender in the last 30 days? Get their relationship managers on it before anyone sends them an offer."
Exit intent spotted in calls, emails, chats, branch feedback and social conversations.
Each customer matched to their loan account: outstanding, rate, tenure and mapped relationship manager.
Ranked by book value and strength of intent. Anyone with an open complaint gets service recovery first.
Retention tasks to each RM with a conversation summary and eligible rate range. Promotional offers held until the RM has called.
Every outcome logged as retained, repriced or lost, with the reason.
Who gets what
132 RM tasks, 293 callbacks and 486 offers held
The win: book value saved before the transfer form is signed. Every RM walks in knowing why the customer wants to leave.
Illustrative figures.
"Complaints about the zip breaking on our travel backpack have spiked this week. Who bought it, what are we still promoting, and how do we get ahead of this?"
A spike across reviews, social, chat and email, traced to one product and two production batches.
Every buyer from the affected batches identified, online and in store.
Buyers who complained get priority. Buyers who haven't yet get a proactive offer. Live campaigns for the product found.
Campaigns and ads paused, replacements raised, a quality task created with sample complaints, stores told to pull stock.
Replacement uptake, complaint volume and ratings tracked daily until the spike is gone.
Who gets what
Pause 3 campaigns, contact 3,940 buyers, alert 42 stores
The win: a product issue contained before it becomes a PR crisis. Ad spend stops funding complaints.
Illustrative figures.
Customer-facing actions need one click. Money-moving actions need sign-off.
Opt-in and do-not-disturb checks run before any outbound.
No promotions to anyone with an open complaint.
Who asked, what was approved, what ran and where.
Every stack is different. We will map these use cases to yours.
Book a requirements callHow it works
The Front Office OS connects above your existing stack, pulls from every relevant system at once, and gives people one place to ask, act and decide.
For your people
The intelligence layer
Understands the question, finds the right systems, combines what they know and orchestrates what happens next.
The connection layer
Standard, controlled connections to each application. No rip and replace.
Your applications
"Every platform has built AI. Every platform will build MCPs. But someone has to orchestrate them."
See it in action
Call context reaches the agent before they say hello: who is calling, the open ticket, and that this is a repeat failure.
Step 1 · TelephonyOrchestrated by KRC The agent never leaves one screen.
What becomes possible
Scenarios marked "Demonstrable today" can be shown now. The rest describe what the Front Office OS makes possible as more applications are connected.
One answer drawn from every system underneath: complaints, calls, accounts and campaigns, instead of four dashboards and a meeting.
Brand love lives in marketing moments; complaints live in transactions. The OS connects both views so the gap has a cause and an owner.
Share of voice, sentiment, top themes, competitor moves and a recommended narrative, assembled from every connected system.
When marketing and PR show different pictures, KRC reconciles them from the same underlying data.
A push campaign starts driving complaints and social backlash. The CMO knows within the hour, not at the post-mortem.
Offers are held back automatically for customers with an open complaint.
Not "NPS fell", but which email journey or campaign caused it, and for whom.
Falling engagement plus rising complaints flags a segment at risk before the CRM sees it.
Call context, account value and field service status reach the agent together, so the customer never repeats their story.
CRM account health reflects what customers say publicly, not just what reps log.
Find where the journey breaks, not just which agent handled the call.
When a chatbot hands over, the agent sees the full conversation and the customer's history across systems.
A repeat failure triggers a senior technician booking in KonnectFSM without leaving the case.
An order management delay triggers a proactive WhatsApp update, before the customer complains.
Volume from a campaign, a launch or an outage is spotted early, so staffing follows the demand.
In-house systems connect through the same layer, so bespoke processes are not left out.
Today and next
We will show you exactly what is live for your stack in the requirements call.
How we grow with you
Most brands begin with social care and ticketing. Our fastest-growing customers reach stages six to eight within 12 months. Stage nine is the Front Office OS.
Every complaint becomes a ticket.
Owners, deadlines and escalation.
Brand, product and competitor signals.
Every channel in one queue.
Every reply scored and coached.
Every message understood and routed.
Every agent equipped, in real time.
Every leader answered, in plain language.
Every application, orchestrated.
We started by connecting conversations. Today we connect intelligence. Tomorrow we connect every application in the front office.
Questions
How to start
01
One hour. We map your front office stack and bring a blueprint.
02
Two to three live use cases, configured and tested with your team.
03
Configuration, UAT, hypercare and go-live. We stay with you as you connect more.
Keep the applications you rely on. Connect the intelligence across them.
Optimized by Seraphinite Accelerator