FY27 GTM Engineering

Do More With More

We're giving teams more AI tools, agents, and automation, so they can focus on the work that actually moves the business. The goal is to simplify and focus: fewer manual steps, fewer context switches, fewer things falling through the cracks.

Simplify
Remove the manual work
that slows teams down
Focus
Point people to where
AI helps them most
Guide
Hands-on enablement
for every team

Q2 Close · Jul 2026 · Cross-Functional Leadership

1

The Vocabulary

Claude Is a Tool. Agents Are Programs.

Two different things. Decoupling them matters.

Claude: A Tool You Use

Like Salesforce or Gong. You log in, you prompt it, you get work done. Connects to your existing systems.

Nobody's scared of a tool.

Claude Salesforce Gmail Calendar Slack Webflow Notion Databricks Wrike

Agents: Programs We Build

Autonomous workflows in the background. Each maps to a job function. Agents have skills: discrete capabilities.

AM Agent
Runs skills automatically on a schedule
▼ loads skills ▼
Churn
Analysis
Expansion
Scoring
Renewal
Briefing
Same skill, two surfaces:
Agent runs automatically or Human triggers in Claude
2

Agent Program

How Agents Get Prioritized

Every agent idea goes through a weighted scoring rubric, not gut feel.

Revenue Impact
25%
Cost Efficiency
20%
Data Readiness
15%
Technical Feasibility
15%
Time to Value
15%
Cross-Func Leverage
10%

P0 (4.0+): Build now   P1 (3 to 3.99): Build soon
P2 (2 to 2.99): Backlog   P3 (<2): Parking lot

Example: TechTouch CSM Account Review Skill

Revenue Impact 4/5 × 25% = 1.00
Cost Efficiency 4/5 × 20% = 0.80
Data Readiness 5/5 × 15% = 0.75
Tech Feasibility 4/5 × 15% = 0.60
Time to Value 4/5 × 15% = 0.60
Cross-Func 3/5 × 10% = 0.30
Weighted Total: 4.05 P0: Build Now

Agent Idea → Production

Request
Wrike
Auto-Score
AI Rubric
Push to
Notion
GTM Ops
Review
Sprint
Cycle
Deploy
Monitor
Perf
Review
3

Q2 · May to Jul 2026

Q2 Close: Scale & Automate

Four objectives, sixteen key results. Anchored to Simply Sendoso: Easier to See Value, Easier to Buy, Easier to Operate. Status as of Jul 26. 11 of 16 delivered.

16
KRs
11
Delivered
8 of 8
Agents Live
10 of 10
Playbooks Live
2 of 6
Apps Live

O1 · Automate CX across the book to drive NRR Easier to See ValueWrike ↗

Replace manual CX work with agents and automated value motions, measured by retention and expansion impact.

Value reports live as a CSM Agent playbook, beta complete. Full rollout carries to Q3.
Renewal Review complete, findings integrated into renewal automation.
Churn forecasting model in production on our data platform.
AM Agent live with the URS framework, in beta with an AM cohort. Pipeline measurement carries to Q3.

O2 · Accelerate top-of-funnel efficiency without headcount Easier to BuyWrike ↗

Better conversion, higher-quality pipeline. Supports $2.5M Q4 new ARR.

MQL to SQL conversion baselines established across both scoring sources.
Predictive intent layer cancelled in quarter, rescoped into Q3.

O3 · Build the AI-native MOps engine Easier to OperateWrike ↗

From reactive ticket-runners to autonomous execution.

Marketing Ops Agent launched. The 50% no-human-review target carries to Q3.
Email build cycle time baselined per template type, improvement options scoped.
Demand gen campaign assist cancelled in quarter, rescoped into Q3.
Compliance flow remediated and phantom MQL signals verified eliminated.
Marketo database cleanup executed against the Q1 audit.

O4 · Mature the agent program operating model Easier to OperateWrike ↗

Build the engine that ships AI safely at scale.

Build process standardized: spec, design review, definition-of-done, enforced across three builds.
AI intake redesigned and measured. Moving to SuperOrg in Q3 for complete context by default.
Agent observability live: monitoring, Slack alerting, escalation tracking per agent.
Our data platform documented as system of record per agent.
Delivered: 8 agents · 10 playbooks · 2 of 6 apps · 2 agents owned outside GTM Eng
Complete / on track In progress Cancelled, moved to Q3
4

Q3 · Aug to Oct 2026

Q3 Plan: Prove & Produce

Four objectives, thirteen key results. Anchored to Simply Sendoso: Easier to Buy, Easier to Use, Easier to See Value, Easier to Operate. Every key result names a deliverable.

4
Objectives
13
Key Results
6
New Agents
10
New Playbooks
4
Agents Owned Outside GTM Eng

O1 · Unified account intelligence layer Easier to BuyWrike ↗

One place where Sales, BDR, and CS see everything about an account and what to do next.

Unified account and contact dashboard with activity views · Aug to mid-Sep Wrike ↗
Unified priority scoring for net new · Sep to mid-Oct · carried from Q2 Wrike ↗
Unified priority, health, and churn scoring for customer accounts · Sep to mid-Oct Wrike ↗
Signal to action framework built and documented (the Signal Warehouse) · Aug to Oct Wrike ↗

O2 · Agent infrastructure Easier to OperateWrike ↗

How fast and how safely we produce and run agents. The leading indicators of next quarter's output.

Production baselines established with Q4 reduction targets · Aug to Oct Wrike ↗
All live agents on one observability layer · Aug to Oct, platform decided mid-Sep Wrike ↗
Blocks-of-work pilot program launched · Aug to Sep Wrike ↗
Playbook operating visibility · Sep to Oct Wrike ↗

O3 · Agent fleet production and distributed ownership Easier to OperateWrike ↗

What shipped, how much the agents already live improved, and how much of the fleet other teams run themselves.

Six new agents launched · Aug to Oct Wrike ↗
Ten new playbooks in production on existing agents · Sep to Oct Wrike ↗
Agents owned outside GTM Eng increased from 2 to 4 · Sep to Oct Wrike ↗
Targets: 6 agents · 10 playbooks · 4 agents owned outside GTM Eng

O4 · Marketing operations engine Easier to OperateWrike ↗

From ticket-driven manual work to agent-run execution, plus visibility into total customer touch volume.

Marketing Ops Agent to 50% autonomous triage · Aug to Oct · carried from Q2 Wrike ↗
Comm Count pilot on Contact and Account · Sep to Oct Wrike ↗
Starts August Starts September Carried from Q2
5

The Agent Roster

Agents by Status

Eight agents and two apps live in production, plus the Q3 build queue.

Live in Production · 8 agents

Website Agent
AM Agent
Support Agent
Marketplace Operations Agent
Onboarding Agent
Marketing Operations Agent
CSM Agent
Sendo Agent

Apps in Production · 2

Financial Command Center
Runs on the data platform
Senders 'n Pretenders Dashboard

Q3 Build Queue

Event Marketing AgentProduct Marketing Agent Performance Marketing AgentSDR Agent AE AgentContent Marketing Agent Finance Agent

Playbooks in build · 6

AM Stakeholder Mapping AM Relationship Risk Scan AM Upsell Signal Detector CSM contact sync to Help Scout CSM monthly value enrichment refresh Marketplace Ops live tracking dashboard
6

Sprint Delivery Roadmap

FY27 Delivery Roadmap · Jun 2026 → Oct 2026

Agents by launch month, with playbook and dashboard workstreams running across the quarter.

JunJulAugSepOct
Website AgentSupport AgentOnboarding AgentSendo Agent
AM AgentCSM AgentMarketplace Operations AgentMarketing Operations Agent
Field Marketing AgentPerformance Marketing AgentAE AgentFinance Agent
Customer Marketing AgentProduct Marketing AgentSDR Agent
Predictive Intent + Lead Routing
Dashboards · unified account intelligence
Playbooks · toward 10 new on existing agents
Live (Q2) Planned (Q3)
Q4 & beyond: BDR Triage Agent · Demand Gen Agent · AI-Assisted Lead Routing → Production · Expansion Scoring Playbook · Agent Observability App
7

Q2 to Q3

Q2 Lookback & Q3 Priorities

What we shipped May to July, and what Q3 unlocks.

Q2 Lookback · May to July 2026
  • 11 of 16 key results delivered. One in beta, two in flight at close, two cancelled and moved to Q3. The agent program operating model objective delivered 5 of 5.
  • Built a repeatable agent factory. Spec template, design review, and definition of done enforced across three builds. AI intake redesigned and measured. Observability live with monitoring, alerting, and escalation tracking per agent. Our data platform documented as system of record.
  • Eight agents live in production. Website, Support, Onboarding, CSM, AM, Marketplace Ops, Marketing Ops, and Sendo, with 10 playbooks running across them. Both platform commitments hit, 8 of 8 agents and 10 of 10 playbooks.
  • Two agents now owned outside GTM Eng. Support and Onboarding handed off with runbooks, proving the model transfers to the teams that use it.
  • Churn intelligence rebuilt. Renewal Review complete and integrated into renewal automation. Churn forecasting model in production on our data platform.
  • Marketing operations cleaned. Compliance flows remediated, phantom MQL signals verified eliminated, and Marketo database cleanup executed against the Q1 audit.
  • Where we came up short. We shipped 2 of 6 apps. Most of that capability landed as playbooks attached to existing agents instead, which is why playbooks hit 10 of 10. Two key results were cancelled in quarter and moved to Q3: the predictive intent layer and demand gen campaign assist.
Q3 Priorities & What They Unlock
  • One view of every account, with the score attached. A unified account and contact dashboard carrying net-new priority scoring alongside customer priority, health, and churn scoring. Gives BDRs a daily ranked list instead of one they build by hand, and puts health and churn risk in front of CS in the same place. Delivers in house the capability we were evaluating third-party intent tools to buy.
  • Every signal gets a defined action. The Signal Warehouse documents which agents and flows consume which signals and what each one does with them. A poor call recording becomes a risk flag on the account. A positive customer quote becomes approved supply for customer marketing. No detected signal without an owner.
  • Six new agents and ten new playbooks. Performance Marketing, Field Marketing, Customer Marketing, Product Marketing, SDR, and Finance agents live, plus ten new playbooks extending the agents already in production.
  • The fleet stops depending on GTM Eng. CSM and AM agents handed to the teams that use them, taking externally owned agents from two to four. Every handoff returns capacity to building the next agent, which is what makes the rest of this list possible.
  • Production capacity becomes measurable. Build-time baselines for both agents and playbooks, every live agent reporting into one observability layer, and a pilot testing whether documentation is the real constraint on playbook output. Q4 reduction targets committed against both baselines.
  • Marketing operations runs itself. Marketing Ops Agent to 50% of inbound tickets triaged without human review.
8

Questions?

GTM Engineering: Building the "more" in "do more with more"

Submit a Request

Wrike

Open →

v2.3.1 · Jul 2026 · Austin · GTM Engineering

9

The Foundation

A Repeatable Agent Factory

Before an agent can ship in hours, the platform underneath it has to exist. The groundwork came first, and it's what now lets every new agent stand up fast, governed, and accurate by default.

Base agent framework

LangChain Deepagents core
Shared agent tools (MCP) library
Per-agent credentials + memory
Centralized customer artifact repository
Observability on every agent action
Self-improving capabilities

Enterprise security by default

Per-user and per-agent authorization
Fine-tuned data governance
Data, agents & apps locked behind enterprise-grade controls

Unified data foundation

Medallion architecture · dev workspace · in progress

Silver layer: 66 tables
Logic review + 4 silver tables aggregated
Gold tables
DLT query optimization & standardization
Data foundation document
How agents are structured: each core agent owns a Role (today, by department), running a growing set of Skills, Playbooks & Tasks, callable across four channels: Slack UI chat Scheduled runs Webhooks
10

Q1 · Feb to Apr 2026

Q1 Closed: 17 of 19 Delivered

Two pulled to future state. Everything else shipped or rolled into Q2.

17
Delivered
2
Deprioritized
89%
Hit Rate
100%
P1s Delivered

Databricks POC ✓

Proved Fivetran → Snowflake → Databricks architecture. New agents stand up in days, not weeks.

ICP Scoring ✓

Account + Contact scoring deployed to AE team. Performance validated. Lead routing live April 3.

Lifecycle Platform ✓

Visual lifecycle mapping with agent-consumable API. React Flow + Cloudflare. Auto-deployed.

Product Schema in Databricks ✓

Product data schema ready and updated in Databricks. AI and agent consumption ready.

Salesforce Schema ✓

Account, Contact, Opportunity objects documented at field level. AI/Databricks consumption ready.

Agent Production Pipeline ✓

End-to-end pipeline from agent idea intake through scoring, review, and sprint execution. Operational and repeatable.

Also shipped: Ticket Estimation System · Marketo Health Audit Workbook · Documentation Framework · Outbound Orchestration Consolidation · Sales Proposal Deck Automation

11

Archive

More Context: From Prior Versions

Concepts and frameworks documented in earlier versions of this deck. Still relevant, but living in the version history rather than the main flow.

Real Examples: Rob + Patty

Before/after/future stories for starter provisioning and Webflow self-service. The original "imagine a world where" framing.

v1.0.1 · slide 3 →

Guided Rollout Plan

Databricks One → Claude pockets → First Agents. Sequencing logic for the original rollout.

v1.0.1 · slide 4 →

Trust Model: HITL → Autonomous

Three-tier autonomy framework: automated day one (internal), human-in-the-loop, graduated autonomous. Still the model we use.

v1.0.1 · slide 5 →

All prior versions accessible via the Versions button (bottom-right).

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Version History

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