Software Provider GTM

GTM strategy that turns into commercial execution.

We help software providers sharpen positioning, select priority markets, build proof, run campaigns and events, enable sales, and manage pipeline. Our team brings the GTM judgement and execution experience. Valid market signals improve timing, while AI agents accelerate monitoring, research, evidence assembly, and action preparation. People retain the commercial and relationship decisions.

Software GTM team reviewing pipeline performance and event follow-up
Software GTM systemValid signals, agent-assisted preparation, accountable action, and pipeline evidence.
GTM execution model

Connect GTM strategy, commercial execution, and AI-assisted preparation.

The system begins with market choice, positioning, ICP, offer, and proof. A valid signal then identifies where current timing may justify action. Experience determines the commercial response; AI reduces the time required to monitor, research, and prepare it.

Signal-led GTM execution model

Combine GTM judgement, commercial execution, and AI-assisted preparation

TraDuotech defines the market choices, positioning, offer, proof and execution system. Valid signals improve timing, while AI agents make monitoring, research and preparation faster. Experienced owners retain commercial judgement and relationship accountability.

  1. 01 · PositionMarket & offer

    ICP, buying problem, differentiated position, proof and commercial objective

  2. 02 · SignalEvidence of timing

    An attributable, time-bound change with a plausible buying implication

  3. 03 · QualifyBuying context

    Source evidence, relevant roles, current constraint and commercial priority

  4. 04 · AccelerateAI-assisted preparation

    Monitoring, account research, proof selection and a grounded proposed action

  5. 05 · ExecuteExperienced owner

    Apply judgement, approve the route and own the relationship decision

  6. 06 · ManagePipeline learning

    Inspect acceptance, progression, decision age and loss reason by cohort

GTM foundationMarket · ICP · Position · Offer · Proof
AI accelerationMonitor · Research · Correlate · Prepare
Commercial managementOwnership · Acceptance · Conversion · Decision age · Loss reason
GTM strategy decisions

Agree where to compete before adding commercial capacity.

We help the leadership team agree the choices that determine whether execution can work: market wedge, buyer system, position, offer, route to market, commercial economics and the management evidence used to invest, adapt or stop.

Strategic choicesOne commercial thesis

Each decision narrows the next, so execution scales around a coherent market choice.

  1. 01Market choice

    Where to compete

    Category, vertical wedge, geography, customer maturity and competitive field.

    Decision outputPriority market thesis
  2. 02Buyer system

    Who must decide

    ICP economics, buying committee, buyer problem, sponsor and control owner.

    Decision outputICP and buying map
  3. 03Position and offer

    Why buyers should change

    Differentiated position, entry offer, proof and the decision it should advance.

    Decision outputPositioning architecture
  4. 04Route to market

    How demand becomes a sale

    The role of outbound, events, content, partners and sales by priority segment.

    Decision outputCommercial motion
  5. 05Economics and capacity

    What the motion can support

    ACV, sales cycle, conversion, coverage and delivery capacity using the client baseline.

    Decision outputInvestment assumptions
  6. 06Management system

    What leaders inspect

    Stage evidence, decision age, pipeline quality and the choices each measure should trigger.

    Decision outputManagement rhythm
GTM strategy

Choose the market, position, and proof

Define the ICP, buying problem, differentiated position, offer, and evidence that sales and marketing will carry consistently.

Commercial execution

Run joined-up campaigns and sales follow-through

Connect campaigns, events, partners, content, enablement, handoffs, and pipeline inspection around named owners and decisions.

AI acceleration

Increase coverage without weakening judgement

Agents monitor valid signals and prepare evidence-based actions; experienced owners decide what matters, what goes out, and where to invest next.

Illustrative customer-agreed GTM operating cadence connecting strategy, pipeline evidence, enablement, commercial action, and investment decisions
GTM strategy + commercial execution

A weekly cadence built around decisions.

Turn market choices and pipeline evidence into accountable action and investment.

●  Agreed with the customer

Strategic frame

Market
Priority wedge
Buyer
Buying system
Position
Offer + proof
Economics
Capacity + return
Management
Fund • adapt • stop
  1. 01 • Pipeline evidence

    Inspect the commercial truth

    • Stage evidence
    • Decision age
    • Conversion by cohort
    Decide: Where to focus
  2. 02 • Account priority

    Choose the next move

    • Signal acceptance
    • Buying context
    • Named ownership
    Decide: Accept or hold
  3. 03 • Enablement

    Strengthen proof and seller skill

    • Proof gaps
    • Discovery quality
    • Coaching needs
    Decide: Close the enablement gap
  4. 04 • Commercial action

    Advance the buyer decision

    • Blockers + owners
    • Relevant proof
    • Dated next decision
    Decide: Act or reroute
  5. 05 • Portfolio review

    Allocate the next investment

    • Cohort return
    • Route performance
    • Capacity trade-offs
    Decide: Fund • adapt • stop

Evidence layer

Source
Approved market evidence
Control
Agreed stage + approval rules
Record
CRM decisions + outcomes
Result
Qualified pipeline learning

The rhythm can change. The decisions, evidence and ownership remain explicit.

Illustrative cadence. The sequence, roles and review rhythm are agreed with the customer.

What we implement

  • • ICP, positioning, offer, messaging, and proof architecture
  • • Campaign, event, partner, content, and sales-enablement plans
  • • Valid-signal taxonomy, account qualification, and source evidence
  • • AI-assisted monitoring, research, and action preparation
  • • Optional enablement add-on: GTM agent selection, configuration, CRM integration, SDR training, and QA
  • • Handoff ownership, CRM stage evidence, and weekly pipeline management
Where TraDuotech adds value

Senior commercial judgement, specialist market context, and an operating system your team can own.

Our focus is complex B2B software, including procurement, supply chain, IP, and royalties markets. We connect market strategy to day-to-day execution, then use AI where it improves speed, evidence coverage, and consistency. We can use our agent-assisted setup or work with the GTM platform and stack your team has selected.

Strategic choices

Decide where to compete and why buyers should change.

Market wedge, ICP, position, offer, buying committee, proof, route to market, and investment priorities.

Hands-on execution

Turn the strategy into coordinated commercial work.

Campaigns, events, partner plays, content, sales enablement, handoffs, pipeline reviews, and management decisions.

Applied AI

Reduce preparation time and expand evidence coverage.

Signal monitoring, source research, account preparation, proof selection, draft actions, approval records, and learning data.

Engagement routes

GTM diagnostic

Identify the market, positioning, funnel, data, capability, and execution decisions that need to change first.

Execution sprint

Build and run one priority motion, including its proof, signal rules, campaign or event work, handoff, and measures.

Embedded cadence

Work alongside the team on pipeline, campaigns, enablement, agent-assisted workflows, decisions, and capability transfer.

Optional GTM enablement add-on

Add agent-assisted execution where it strengthens the commercial plan.

GTM Strategy & Commercial Execution is the primary offer. Where agent assistance can improve coverage, preparation or administration, we agree the operating rules, ownership and measures with the customer, then configure the capability in their selected GTM stack. That can include Hermes, Claude, or another established AI tool or agent platform they already use. Our internal delivery method guides configuration, field testing, team training and handover without imposing a fixed workflow or rebuilding the agent from scratch.

Optional GTM capability

Configure, train and transfer with the team that will operate it.

We bring GTM and implementation experience, then agree the choices, controls and measures with the customer. AI reduces research, preparation and administration time; people retain market, qualification, conversation and relationship decisions.

  1. 01Commercial design

    Agree the commercial rules

    Agree how the GTM strategy translates into qualification, evidence, approval, escalation and CRM requirements.

    Working ownershipTraDuotech + GTM leadership
  2. 02Agent configuration

    Adapt the chosen GTM stack

    Configure and integrate Hermes, Claude, or another established AI tool or agent platform against the agreed GTM rules.

    Working ownershipTraDuotech + RevOps / technology
  3. 03SDR enablement

    Train the team to apply judgement

    Coach SDRs on evidence review, discovery, qualification, objections, exceptions and accountable use.

    Working ownershipTraDuotech + sales management
  4. 04Capability transfer

    Leave a system the team can run

    Hand over playbooks, controls, QA measures, coaching routines and an improvement backlog.

    Working ownershipNamed customer owner
AI assists

Approved-source monitoring, evidence assembly, preparation and GTM administration.

People decide

Strategy, claims, qualification, live conversation, commercial judgement and relationships.

Management learns

Acceptance, conversion, decision age, exceptions and coaching needs by cohort.

Relevant case study

Event‑to‑Pipeline Motion for a Software Provider

Events generated conversations, but contact volume obscured which accounts had a current reason to act. Notes, follow-up ownership, and attribution varied by rep. We defined valid event signals and source requirements, used agent assistance to prepare account context and follow-up, and established named approval and cohort conversion review from conversation to pipeline.