Orchestrate the rest.
The answer in every agent's hand. Client policy changes pushed in seconds. Performance you can actually see. One operating environment for the floor, the ops room, and the boardroom.
A graveyard-shift agent on a U.S. healthcare account answers a question about a refund policy. The customer is impatient. The answer has to be right and it has to be now. Most of the time, it isn't.
“The customer is asking about the new return policy. The client changed it Tuesday. The reference deck says version 3. The new version is in someone's email. I'm searching by Ctrl+F while the customer waits.”
What it costs: longer call times, lower CSAT, eroded agent confidence — and one wrong answer becomes a compliance call from the client.
“I've been here eleven months. Hit every KPI. Trained two new hires. Nobody upstairs knows my name. The Slack channel has memes from the day shift. I work nights.”
What it costs: attrition. Every agent who walks takes three months of training investment with them and your client SLA bends a little further.
Every client account gets its own Atlas — an encyclopedic, always-current reference for that customer base. Inside each Atlas lives Scout, the AI specialist that knows only what that client knows. Pilot, the Playbook assistant, fields anything from your internal SOPs and handbook — all from one desktop.
Mid-call lookup goes from forty seconds to four. The new client policy pushed this morning is already in the Healthcare Atlas by the agent's first call — and Scout cites the exact source.
Every agent gets their own page — a profile, a tenure marker, a wall of kudos from peers and TLs. Spotlight surfaces them in the daily rotation so the floor literally meets them by name.
Recognition becomes a first-class surface, not an afterthought. Three months of this in production at LANDbase moved daily engagement measurably.
It's 8:14 a.m. in Manila. The healthcare client just emailed a procedure update. Five hundred agents need to be operating differently before 9:00. The TL hits the floor with a stack of printouts. Half the night shift has already gone home.
“The client emails a refund-policy change at 8 a.m. By 9 a.m. every agent has to be answering correctly. Email blasts get ignored. Whiteboard updates miss remote workers. Floor briefings miss the night shift. And that's one client — we run twelve.”
What it costs: one agent on the old policy equals one SLA breach equals one client review meeting nobody wants to be in.
“QA scores live in NICE. AHT lives in Genesys. CSAT lives in the client's survey tool. Schedule adherence lives in WFM. Pulling it together for one agent takes the whole morning.”
What it costs: coaching that arrives late, top performers who quit before anyone noticed, attrition nobody predicted until the resignation letter.
The Ops manager drops the client's updated policy as a Word document. The Launcher publishes it into the right Atlas in seconds — every agent sees it on Home Base, Scout has it in memory, read-acknowledged, version-tracked, audit-ready. Internal SOPs flow the same way into the Playbook.
Eight-fifteen becomes the moment the policy went live, not the moment the fire drill began.
One screen for every agent, every team, every program — AHT, CSAT, QA, schedule adherence, training, attrition risk — pulled live from the tools you already pay for (Genesys, Five9, NICE, Verint, Observe.AI). Role-gated: agents see themselves, TLs see their pod, ops sees the floor.
The AI overlay surfaces who needs coaching today and who's about to walk — not at end-of-month review, but this morning.
Every quality-management platform tells you yesterday's calls scored 78. None can connect what happened on the call to the rest of the agent's day. Orchestrate has every signal in one place — and uses AI to surface the insight before the problem becomes the resignation.
Agent Maria Reyes ran eight Scout lookups for the Healthcare Atlas's new Refund Policy 4.2 this week. Her CSAT on refund calls dropped 12 points. She missed Tuesday's Playbook training on the new refund flow. → Coaching opportunity flagged for Thursday morning.
Team Lead Carlos Aguinaldo has lost two agents in 30 days. His pod has the floor's highest schedule deviation and the lowest kudos volume. QA scores down 6 points across the cohort. → Root cause review recommended this week.
Healthcare client SLA at risk: four of twelve dedicated agents have not acknowledged this morning's Atlas update on Refund Policy 4.2. → Client calls routed to the acknowledged pool until close-out.
The insights above are illustrative; the data sources are real. Orchestrate connects to the tools you already use and turns them into one operational view that defends client SLAs, predicts attrition, and surfaces coaching a week earlier than the QA-only stack.
A procurement officer at a target client is asking ChatGPT for the best healthcare BPO in the Philippines. You didn't come up. The board's asking whether AI eats the business model in eighteen months. Both questions are existential. Both have answers.
“Procurement teams now ask Claude or ChatGPT before they build a shortlist. If we don't show up — or show up with three-year-old information — we lose the deal before the RFP arrives.”
What it costs: pipeline silently shrinks. You won't see the drop on the CRM dashboard, because the conversations never started.
“Every board meeting opens with the same question. Margins compress, clients ask for AI discounts, junior agents read the same headlines. We need to be visibly AI-augmented across every workflow — this quarter, not in five years.”
What it costs: valuation defense, client renewals, talent retention, and the strategic narrative the board presents to investors next quarter.
A monthly scan across Claude, ChatGPT, Gemini, and Perplexity. We ask each model what it knows about your firm and your competitors. The report shows where you're visible, invisible, and wrong — plus the Folio assets to publish to fix it.
Answer Engine Optimisation becomes a managed function. The procurement officer's AI assistant gets the right answer next time.
Every workflow your operation runs — agent lookup, policy publishing, performance management, recognition, BD — visibly running on AI. The board deck writes itself. The investor question becomes a competitive advantage you demonstrate live.
You are not promising AI augmentation in 2027. You are operating it now.
Nine products on one platform. Each does work no point-solution does. Together they are the operating environment your floor runs on.
The AI assistant over your Playbook — internal SOPs, handbook, HR and compliance. The first stop for any how-do-we-do-this question on the floor.
One Atlas per client account — the always-current reference for that customer base. Scout is the AI inside each Atlas — the specialist that knows only what that client knows, with the source cited.
Daily dashboard, profile page, peer kudos, day-one onboarding. The recognition layer that closes the agent-invisibility gap.
Drop a Word doc, see it live in the right Atlas or in the Playbook in seconds. Read-acknowledged, version-tracked, audit-ready.
The BPO's own knowledge — SOPs, handbook, HR policies, compliance training. Word-doc-as-source-of-truth with AI auto-categorisation. Pilot reads from it; the floor searches it.
One screen for every KPI, every agent, every program. Cross-signal AI overlay surfaces coaching, retention risk, and SLA exposure in real time.
Your published face — capability statements, case studies, client memos — all web-native, all addressable, readable by humans and AI assistants alike.
Monthly four-model AEO scan. Know what Claude, ChatGPT, Gemini, and Perplexity are saying about your firm — and fix it.
Daily tender discovery, AI triage against your capability statements, AI-drafted proposal sections. Pipeline becomes a managed function.
You've already invested in the call recording, the QM scoring, the WFM. We don't replace any of it — we connect to it. Day one ingests CSV or scheduled SFTP from anything; native API integrations ship for the platforms your floor depends on.
Platforms in gold are day-one launch integrations for the beta cohort. Others sequence into the roadmap based on demand from beta tenants.
A worked example for a 500-agent BPO running a mix of voice and non-voice accounts, mostly U.S. and Australian clients. Numbers are illustrative; we'll model your floor in the discovery call.
Conservative estimates. Each line is documented to a source assumption we'll share with your CFO.
| AHT reduction via Scout (in-Atlas) + Pilot · 10% avg, 500 agents | +$540K / year |
| Attrition reduction via Spotlight recognition · 5% improvement | +$75K / year |
| Coaching efficiency via Flight Deck cross-signal AI | +$180K / year |
| SLA breach avoidance via Launcher · 2 client reviews avoided | +$120K / year |
| New client wins from AI Presence + RFP Centre · one mid-size client | +$400K / year |
| Less: Orchestrate platform cost (Suite + Flight Deck + AI Presence + RFP) | −$340K / year |
| Net annual value · year one | +$975K |
Sources: industry-standard AHT impact data from AI-assist deployments in Philippine BPOs, IBPAP attrition cost benchmarks, and observed coaching-efficiency gains. Full assumption set provided in the discovery call.
Transparent, tiered, structured around how BPOs already procure. One contract, one invoice, all platforms.
Suite includes up to 5 client Atlases per tenant. Additional Atlases: $200 / Atlas / month — for BPOs running larger client portfolios.
The first five Philippine BPOs to join the beta cohort get half-price year-one pricing in exchange for case-study rights and quarterly product feedback.
Orchestrate is brought to market by two ventures, cleanly separated. One builds; the other sells. No outside investors, no procurement complications.
A 40-year landscape architecture and master planning practice with offices in Toronto and Singapore. Built Orchestrate inside its own operation (LANDbase) — running it for 33 staff across two offices for over a year before bringing it to market. The platform, the AI engineering, the master licences with AWS, Anthropic, OpenAI, and the integration partners — all LANDinc Foundry.
The customer-facing partner. Co-designed the BPO product with senior operators from the Philippine BPO market. Owns sales, customer success, onboarding, and reseller relationships. Your relationship with Orchestrate is with Project Coach — the platform runs underneath.
If your floor is ready to be run differently, book a demo. If you want to be among the first five BPOs on the beta cohort, join the list and we'll write when we open the next slot.
Walk through Orchestrate with the partnership leads. Bring one real client policy document and one real KPI dashboard from your existing stack — we'll show you what they look like when they live in the same operating environment.
Request a demoFive Philippine BPOs will join the beta. Each gets 50% off year-one pricing, founder access, and the chance to shape the roadmap. In exchange: case-study rights and quarterly feedback.
Join the cohort