This GTMS OS represents my personal strategic operating framework developed from my international B2B IT Services & IT Consulting experience. Business assumptions (targets, quotas, and revenue scenarios) are configurable, while the GTM methodology and execution philosophy remain constant.
Executive Question: Where should we sell, and to whom?
Segment A: IT Services
Growth-stage ISVs through mid/large enterprise accounts. AI, cloud, and automation are delivered as capabilities inside these engagements — not a separate business line. Every card answers: what can the CRO decide in under 15 seconds?
Q1–Q2 focus below. Retail and Education are watchlisted for Q3–Q4 reevaluation based on response.
Capability Signals Across the IT Services Book
AI Opportunity IndexiBlended read of AI Adoption + Opportunity scores across the 5 IT Services industries. Meant to show where AI-attached upsell is most viable inside services delivery.Illustrative Estimate
76
Automation ReadinessiDirectional estimate of how ready IT Services accounts are for RPA/workflow automation add-ons, based on typical maturity for their industry size band.Illustrative Estimate
64
Cloud Migration IndexiDirectional estimate of how far along the ICP's typical account is in cloud migration — informs whether cloud infra services or app modernization leads the conversation.Illustrative Estimate
71
Data MaturityiHow structured/accessible a typical account's data is. Lower scores mean data engineering has to precede any AI/BI upsell — sets expectations before a pitch.Illustrative Estimate
58
Cybersecurity RiskiGeneral exposure level typical of this ICP (mixed regulated and unregulated industries). Not a live scan — a planning-level signal for where security add-ons might land.Illustrative Estimate
Med
Transformation UrgencyiReflects that most 2026-27 buyers face real competitive/AI-adoption pressure — used to justify why outreach timing matters, not a measured figure.Illustrative Estimate
High
How to Read the Score Bars BelowiThese 5 dimensions repeat on every industry card in both IT Services and IT Consulting. They're directional estimates — a way of showing the framework's shape — not pulled from a live CRM or intent-data feed. In production, each would map to a real source (CRM stage data, G2/intent signals, BuiltWith/tech-graph data, etc.).Illustrative Estimate
Same 5 dimensions on every card — click any dot for the source.
Opportunity
Size of the addressable revenue in this industry, relative to the others in the ICP.
AI Adoption
How far along this industry typically is in adopting AI/ML — informs whether the pitch is "introduce" or "scale."
Digital Maturity
General technology sophistication — legacy-heavy vs. cloud-native — which shapes delivery complexity.
Decision Velocity
How fast this industry typically moves from first conversation to signed contract.
Budget Readiness
How likely budget is already allocated vs. needing to be justified/approved first.
Solutions & Services
The engagement models and delivery formats offered across every IT Services account.
Services Capacity Breakup — How We Get to $800,000iThe 6-line mix and each avg. price come from the original 2018 plan. Change the target in the gear-icon panel (bottom-left) and the dollar values + volumes here recalculate — the % mix and avg. prices stay fixed.From Original Plan
Every line shows the underlying math: avg. price × volume. Volume is derived from the target — avg. price and the % mix per line stay fixed.
| Solution / Service | Model | Math (Avg. Price × Volume) | Value |
|---|---|---|---|
| Total Capacity (Approx.) | $800,000 | ||
Executive Question: Which industries deserve strategic investment?
Segment B: IT Consulting
Digital transformation advisory across Blockchain, AI/ML, RPA and agentic automation — sold as consulting outcomes, not as an "AI product."
Capability Signals Across the IT Consulting Book
ML ReadinessiDirectional estimate of how ready the Consulting ICP is for ML-based engagements (predictive analytics, forecasting) vs. needing foundational data work first.Illustrative Estimate
61
Gen AI Adoption %iIllustrative share of the Consulting ICP already piloting generative AI in some form — used to frame whether the pitch is 'introduce AI' or 'scale what you've started.'Illustrative Estimate
47%
Technical Debt ScoreiDirectional estimate of legacy-system burden across this ICP — higher debt usually means modernization has to precede any transformation work.Illustrative Estimate
54
Executive Buying IntentiIllustrative read on how close this ICP's leadership is to actively budgeting for transformation work, vs. still exploring.Illustrative Estimate
68
AI Opportunity IndexiBlended read of ML Readiness + Buying Intent across the 5 IT Consulting industries — where AI-led consulting engagements are most viable right now.Illustrative Estimate
73
Automation ReadinessiDirectional estimate of how ready the Consulting ICP is for RPA/agentic workflow engagements specifically (vs. AI/ML broadly).Illustrative Estimate
59
Services Offered
The consulting service lines sold across every industry in this segment.
Embedded Capability Stack
AI, agentic automation, and RPA are capabilities delivered inside IT Services and IT Consulting engagements — never sold as a standalone "AI platform."
Cross-Practice Technology & Capability Stack
Shared across IT Services and IT Consulting. Platform-agnostic execution — tools evolve, the GTM logic doesn't.
Consulting Potential
$1,000,000
Strategic directional target for Blockchain, AI/ML, and Custom Digital Transformation.
Executive Question: Which accounts should we prioritize this quarter?
Sales Execution Architecture
This layer translates GTM strategy into a repeatable sales motion, independent of specific tools, data maturity, or market cycles. It governs how opportunities are pursued, filtered, and progressed.
Account Intelligence Layer
What used to be "LinkedIn, Email, Phone" is really a signal-and-relationship intelligence system.
ICP Definition — Company Size Band by IndustryiCompany size bands and geography come directly from the original 2018 plan's classification table. Decision-maker titles are a reasonable inference per industry, not independently verified.From Original Plan
This is the actual ICP: industry, revenue band, geography, and the title that owns the buying decision. Everything else in this pane (tiering, sequencing, messaging, campaigns) is the qualification and outreach logic applied on top of this definition.
| Segment | Industry | Company Size Band | Geography | Primary Decision Maker |
|---|
Executive Question: How do we qualify and convert, deal by deal?
Revenue Execution Framework
How this works as an individual contributor — one person carrying quota, running the qualification and the funnel end to end across international IT Services & IT Consulting deals. No SDR/AE split; the same person sources, qualifies, and closes.
Sales Qualification FrameworkiThese are established, industry-standard sales methodologies (not invented here). What's specific to this plan is which one gets applied to which deal, and why.Standard Methodology
One methodology doesn't fit every deal. The framework used is chosen by deal complexity — not applied uniformly.
Low–Medium Complexity
BANT
Budget · Authority · Need · Timeline
Used WhenSingle-stakeholder, fixed-bid work (Web/Mobile projects, Ecommerce quick-turn engagements).
WhyFastest qualification path — a quick go/no-go before investing more discovery time.
Medium Complexity
SPIN Selling
Situation · Problem · Implication · Need-Payoff
Used WhenThe buyer hasn't fully articulated their pain yet (Manufacturing, Travel & Transp., Retail & CG).
WhySurfaces the real problem through guided questions instead of pitching before the pain is understood.
Medium–High Complexity
Challenger Sale
Teach · Tailor · Take Control
Used WhenCompetitive or status-quo-protecting deals (ISV, Media & Ent., Automotive) where "do nothing" is the real competitor.
WhyReframes the conversation and creates urgency where the buyer doesn't yet see a reason to change.
High–Very High Complexity
MEDDICC
Metrics · Economic Buyer · Decision Criteria · Decision Process · Identify Pain · Champion · Competition
Used WhenEnterprise, multi-stakeholder, compliance-gated deals (BFSI, Healthcare, Government, large IT Consulting engagements).
WhyComplex buying committees need a rigorous, repeatable checklist so deals don't stall silently.
| Deal Type | Example Industries | Sales Complexity | Methodology Applied |
|---|---|---|---|
| Transactional / Fixed-Bid | Web/Mobile Dev, Ecommerce | Low–Medium | BANT |
| Consultative / Undefined Pain | Manufacturing, Travel & Transp., Retail & CG | Medium | SPIN Selling |
| Competitive / Status-Quo | ISV, Media & Ent., Automotive | Medium–High | Challenger Sale |
| Enterprise / Multi-Stakeholder | BFSI, Healthcare, Government | High–Very High | MEDDICC |
Lead-to-Revenue Conversion ModeliA hunter-led model built for a solo IC: 500 target accounts, 8 stages, ending in 8 closed-won deals against the $1.8M target at the blended $215K ACV. Every number below is illustrative — internally consistent with each other and with the Win Rate (34%) and ACV ($215K) shown on the Revenue Intelligence tab, but not pulled from a live CRM.Illustrative Estimate
This is a hunter-led motion by design — Outbound carries the plan; Inbound and Existing Accounts add upside on top of it, they don't replace it.
Outbound
Primary75%
Cold outbound (LinkedIn + email + calling) — the Signal & Intelligence Stack below. ≈$1,290,000 of the funnel output.
Inbound
Secondary18%
Referrals, case studies, and organic response to a delivered engagement. ≈$310,000. Supports growth — not relied on to hit plan.
Existing Accounts
Optional7%
Staff-aug extensions and cross-sell into delivered accounts. ≈$120,000. Upside, not planned-for baseline.
Full Funnel — Outbound-Led (Primary Channel)
Bar widths are ordinal (each stage narrower than the last), not to numeric scale — 500 → 8 wouldn't be readable as true proportions. Read the counts and % for the real math.
Source Layer (Tool-Agnostic)
Sourcing logic remains constant even as platform subscriptions evolve.
Qualification Logic (Applied to the ICP Above)
Core Filters
Disqualifiers
- • Low digital maturity / legacy resistance
- • Price-only competitive bidding models
- • One-off transactional work without scale potential
Tiering Model (Capacity Protection)
Tier A: High-FitiAccounts matching the ICP's company-size band AND showing an active buying trigger (see Buying Triggers per industry). Small in number by design — protects senior time for the highest-probability deals.Illustrative Estimate
Senior-led, relationship-first approach. Human time protected.
Tier B: ScalableiIn the ICP's size band but no confirmed trigger yet. Gets templated-but-personalized outreach — automation-assisted rather than senior-led, until a signal promotes them to Tier A.Illustrative Estimate
Medium-fit, assisted by automation for broader reach.
Tier C: AwarenessiOutside the core size band or industry focus, but worth staying visible to (e.g. Retail/Education — see the watchlist note on the IT Services tab). Broad-reach content only, no direct outreach.Illustrative Estimate
Broad market, awareness-only. Minimal direct intervention.
This tiering layer governs decision logic, not activity volume.
Channel Sequencing Philosophy
Context Setting
LinkedIn as primary context-building layer.
Reinforcement
Email for reinforcement and structured follow-up.
Selection
Phone/Voice usage reserved for select validated signals.
Message Architecture (Non-Scripted)
Scripts are intentionally excluded to allow for industry and persona flexibility.
Context
Relevance
Problem Framing
Invitation
Feedback & Adjustment
- Execution reviewed on signal quality, not just volume.
- Continuous refinement of ICP filters.
- Deprioritization of underperforming segments without attachment.
Marketing Campaign Cadence
Email and calling run simultaneously — every email campaign is followed by a calling campaign in the same week.
Signal & Intelligence Stack
Business Mail
→ Executive Engagement
Skype / Phone
→ Decision Timeline Validation
Sales Navigator
→ Relationship & Stakeholder Mapping
ZoomInfo
→ Intent & Account Intelligence
Executive Question: Where is revenue at risk, and where is capacity underused?
Pipeline & Revenue Intelligence
Indicative planning view. Execution volumes adjust dynamically based on signal quality, ICP response, and pipeline maturity.
Executive KPIs
FY 26-27 Combined Revenue Capacity — $1,800,000i$800,000 is priced bottom-up (verified from the original plan). $1,000,000 is the original plan's stated Consulting target, not priced line-by-line. Both are editable in the gear-icon panel (bottom-left); the total is always their sum.From Original Plan
The two segment targets, added together. IT Services is a bottom-up build from six priced line items (see IT Services tab); IT Consulting is a directional strategic target — the original plan does not price it line-by-line.
A) IT Services
$800,000
Bottom-up: 6 priced line items
B) IT Consulting
$1,000,000
Directional strategic target
Combined Total
$1,800,000
$800,000 + $1,000,000
Quarterly Milestones FY 26-27iThe 10/20/40/30% split and the Consulting column are from the original plan. The Services column applies that same split — my addition, flagged in the note below, since the original doesn't break Services out by quarter. Both dollar bases recalculate with the target.Partly Illustrative
IT Consulting's 10/20/40/30% quarterly split is from the original plan. IT Services isn't split by quarter in the original document — the Services column below applies that same 10/20/40/30% rhythm as a stated assumption, so the two segments stay comparable quarter to quarter.
| Quarter | % of Plan | A) IT Services | B) IT Consulting | Combined |
|---|---|---|---|---|
| FY Total | $800,000 | $1,000,000 | $1,800,000 | |
Opportunity MatrixiEach dot is one industry, plotted by its Opportunity score (Y) and Budget Readiness score (X) — both defined in the score legend on the IT Services tab. Top-right = biggest, most fundable opportunities.Illustrative Estimate
Market Attractiveness (Y) vs. Execution Fit / Budget Readiness (X)
AI & Readiness HeatmapiSame 5 scores from every industry card, side by side for quick comparison. Color bands: ≥70 green (strong), 50-69 amber (moderate), <50 red (weak) — a simple, standard 3-tier convention, not statistically derived.Illustrative Estimate
Score ≥70 green · 50–69 amber · <50 red
Executive Question: Where should delivery capacity be allocated?
Execution & Delivery Engine
Technical methodology for conversion and project success.
On-Time Deliveryi% of milestones hit on the originally committed date. Formula: milestones delivered on/before date ÷ total milestones. Illustrative target, not a measured actual.Illustrative Estimate
91%
Scope Change Ratei% of engagements with a formally logged scope change after SOW sign-off. Formula: engagements with change orders ÷ total engagements. Illustrative target.Illustrative Estimate
12%
Client SatisfactioniAverage post-engagement client rating. Illustrative target reflecting the delivery governance model (WBS, sprint cadence, scrum reporting) described on this tab.Illustrative Estimate
4.7/5
Delivery ConfidenceiComposite of on-time delivery, scope stability, and satisfaction. A single number to convey delivery health at a glance — illustrative, not a certified index.Illustrative Estimate
88/100
1. Project Governance Flow
Brainstorming
Defining objectives and high-level requirements with the client.
Scope & Feasibility
Technical and economical scope finalization. Risk assessment.
Planning (WBS)
Creating the Work Breakdown Structure and resource mapping.
Timeline & Sprinting
Setting baselines, schedules, and defining the initial SOW.
Monitoring & Reports
Continuous progress analysis and scrum reporting.
Agile Sprint Cycle
Plan
Baseline & Delivery Time
Track
Progress Info Streams
Analyze
Result Validation
Scrum
Reporting & Review