Doctrine Meets Reality
Two problems. Same four stages.
DOSA isn't a slide — it's been used to solve two genuinely different problems, in two different domains, and produced two different things. One became an operating model inside a BPO. The other became a product.
Case 1 — An Operating Model
Real deployment, not a case study slide
Digitally Orchestrated Smart Automation — the BPO/BPM version of DOSA
This adaptation runs live inside Innotech Global, TGC's operating delivery partner for BPO/BPM. It's the same four-stage sequence, rebuilt around the specific constraints of high-volume, multilingual customer operations: agent assist that has to work on a live call, QA that has to score every interaction not a sample, automation that has to scale without adding headcount linearly.
D
Digitally
Every process architected for digital execution before a single agent is deployed — not digitised after the fact.
O
Orchestrated
Human delivery, AI agents, and communication platforms choreographed as one system around the client outcome.
S
Smart
Agent assist, automated QA, and predictive ML woven through every layer — the operating fabric, not an add-on.
A
Automation
Agentic workflows and self-correcting QA loops that compound, without linear headcount growth.
⚡Zuqo ACPaaSOmnichannel orchestration layer
🧠Pragyaa.aiVoice AI, analytics, automated QA
🏢Innotech Global DeliveryMultilingual experts, exception handlers
38%
Reduction in average handle time via real-time agent assist
89%
Interactions covered by automated QA, versus 3–5% manual sampling
2x
Lead-to-appointment conversion on agentic qualification at scale
Figures from live Innotech Global deployments. Cited on the DOSA doctrine page with the same evidence discipline SIGNAL applies elsewhere — attributed, not fabricated.
Case 2 — A Product
Had a problem. Used DOSA. Built SIGNAL.
SIGNAL didn't start as a product. It started as DOSA applied to our own outbound.
TGC's own outbound was wasting hours on companies that were never going to buy — the exact problem the DOSA sequence exists to fix. We ran it: digitise the scattered evidence, orchestrate a real pipeline instead of ad-hoc SDR guessing, synthesise the evidence into one score, automate the judgement while keeping a human on the final send decision. What came out the other end wasn't a fixed internal process. It was a product.
D
Digitise
Leadership changes, funding, hiring, strategic initiatives — captured as structured evidence, not scattered across manual research.
O
Orchestrate
Qualify, Research, Score, Decide, Engage run as one connected pipeline — not five disconnected steps done inconsistently.
S
Synthesise
Four independent factors combined into one Commercial Opportunity Score. Evidence becomes a decision, not a hunch.
A
Automate
Drop, Verify, Pursue — and the send decision — run at scale. A person still reviews before anything reaches a company.
SIGNAL is newer than the BPO/BPM adaptation, and we're not going to cite deployment stats we don't have yet. What we can say is where it came from — the same four stages, applied to a different problem, on purpose.
