AGENT PLATFORM
Artemis
Build, orchestrate, test, govern and optimize production AI agents. Public Kore.ai positioning emphasizes AI-programmable development, Agent Blueprint Language, Arch, observability and model-independent logic.
K
PARTNERSHIPS SALES MANAGER · SAN MATEO
A revenue system for partner-assisted enterprise AI sales.
The operating question: which partner + which account + which Kore.ai application + which trigger + which relationship path + which next action creates the strongest partner-sourced or partner-influenced revenue opportunity?
Independent work sample built from public Kore.ai information and role preparation. It is not a Kore.ai product, internal dashboard, customer portal, or representation of private CRM data. Public facts are identified as such; scores, account examples and proposed workflows are hypotheses until validated internally.
Company RecordKore.ai
Bay Area HubSan Mateo, California
Core PlatformAgent Platform {Artemis}
Strategic HyperscalersAWS · Microsoft
Role ThesisEcosystem → Pipeline → Revenue
—Partner-sourced pipeline
—Partner-influenced pipeline
—Open co-sell opportunities
—Activated partners
—Partner meetings
—Quarter pipeline created
The blank KPI state is intentional. I would rather show the operating model than fabricate internal performance data.
COMMAND CENTER
The homepage should tell the manager what to do today.
Research only earns its place if it creates a better commercial decision. The queue ranks accounts by application fit, timing, partner access, relationship evidence and commercial potential.
| Priority | Partner Route | Account | Why Now | Application | Next Action |
|---|---|---|---|---|---|
| 96 | AWS | Illustrative enterprise | Amazon Connect modernization + GenAI initiative | AI for Service | Validate with AWS AE |
| 93 | Microsoft + GSI | Illustrative enterprise | Agent proliferation + Microsoft estate | AMP / Artemis | Map account teams |
| 89 | Implementation Partner | Illustrative regulated account | ITSM / employee-support transformation | AI for Work | Create joint hypothesis |
| 84 | BPO / CX Partner | Illustrative service account | High service volume + cost pressure | AI for Service | Quantify services attach |
01 · APPLICATIONS
Make every application sellable.
Each application record should connect the product to a buyer problem, metric, technology environment, implementation path, partner economics and proof.
AGENT GOVERNANCE
Agent Management Platform
Govern and monitor AI agents across heterogeneous frameworks, clouds and development environments. This creates a wedge where the customer already has agent sprawl.
CUSTOMER SERVICE
AI for Service
AI agents, contact-center automation, voice, digital self-service, human-agent assistance, quality automation and proactive outreach.
EMPLOYEE EXPERIENCE
AI for Work
Enterprise search, employee support and agentic workflows across IT, HR, finance, sales, marketing, engineering, legal and other functions.
PROCESS
AI for Process
Knowledge-intensive, multi-step enterprise processes with deterministic controls, multi-agent orchestration and human approvals.
IT
AI for IT
End-to-end IT support, incident resolution, access requests, troubleshooting and service-desk automation across enterprise systems.
FUNCTIONAL WORKFLOWS
HR · Recruiting · Finance
Examples include benefits and HR requests, recruiting workflows, enterprise knowledge, expense/procurement and finance operations.
VERTICAL WORKFLOWS
Banking · Healthcare · Service Verticals
High-volume regulated workflows where authentication, deterministic execution, knowledge grounding and escalation matter.
Application record structure
Business problem + metric
What expensive or constrained process exists? Track containment, resolution, labor capacity, cycle time, accuracy, revenue enabled, risk or other use-case-specific metrics.
Architecture + installed stack
Contact center, cloud, CRM, ITSM, ERP, data layer, identity, model estate and integrations that shape the opportunity.
Partner attach
Who can implement, influence procurement, provide account access, consume cloud, deliver change management or expand the resulting services footprint?
02 · ACCOUNTS
Separate ICP, AI opportunity and access.
A large company is not automatically a good pursuit. The account record should explain business fit, application fit, partner path and evidence.
ICP by industry — initial hypotheses to validate internally
Industry
Primary Wedge
Economic / Business Buyer
Technical / Decision Roles
Influencers
Banking & Financial Services
Service · Process · AMP
COO · Head of Service · Operations
CIO · CTO · CAIO · Enterprise Architecture
Risk · Compliance · GSI · Cloud AE
Healthcare
Patient access · Service · Work
COO · Patient Access · Operations
CIO · Digital Health · Security
Clinical governance · Integration partner
Telecom
Service · Agent Assist
CXO · Service Operations
CIO · Contact Center Tech · Architecture
BPO · CCaaS · Hyperscaler
Retail / E-Commerce
Service · Search · Process
Customer Operations · Digital
CIO · CX Tech · Data / AI
Commerce SI · Cloud · BPO
Enterprise Shared Services
Work · IT · Process
CIO · CHRO · Shared Services
ITSM · Enterprise Architecture · CAIO
ServiceNow / Microsoft ecosystem · GSI
Regulated / Public Sector
Artemis · AMP · Sovereign AI
Transformation · Operations
CIO · CISO · Architecture
Sovereign / regional SI · Cloud
Three intelligence layers
ACCOUNT IQ
Should this company be prioritized?
Industry, scale, transaction or service volume, geography, regulatory complexity, transformation activity, buying capacity and use-case density.
Output: ICP score + reasons
Guardrail: firmographic fit alone cannot create a high-priority pursuit
AI IQ
Where could Kore.ai create value?
Current AI initiatives, agent estate, cloud, CRM, ITSM, contact center, ERP, data platform and legacy automation. Map existing use cases and credible adjacent opportunities.
Output: use-case map + legacy integration map
Guardrail: distinguish detected facts from inferred opportunity
PARTNER ROUTE IQ
Who changes access or economics?
Hyperscaler account team, GSI account partner, BPO/CX provider, implementation firm, current vendor relationships and warm introduction paths.
Output: ranked routes into the account
Guardrail: relationship evidence must be sourced and confidence-rated
Account page output
One screen should show: company summary → likely applications → current AI/technology environment → buyer map → partner routes → live signals → competitive footprint → opportunity hypotheses → next best actions.
03 · PARTNERS
Partner intelligence should predict where joint selling can work.
The public ecosystem already shows multiple distinct partner motions. The internal system should segment them because AWS, a GSI, a BPO and a sovereign regional partner do not create value in the same way.
Public ecosystem segmentation
STRATEGIC HYPERSCALERS
AWS · Microsoft
Cloud, AI infrastructure, marketplace and co-sell. Kore.ai publicly identifies both as strategic partners and describes integrations into their AI ecosystems.
IMPLEMENTATION / TRANSFORMATION
Atos · Mphasis · TeKnowledge
Services, architecture, enterprise implementation, transformation and execution around the platform.
CX / BPO / MANAGED SERVICE
Teleperformance / TP Infinity
Customer-service transformation, managed services, implementation and resale economics around high-volume service operations.
REGIONAL / SOVEREIGN
Inception (G42) · Gulf Edge
Localized market access, sovereign or regional infrastructure, industry solutions and country-specific delivery.
These are public examples, not a claim that this is the complete partner roster. A production system should import the full current partner list from Kore.ai’s partner systems and preserve program tier, geography, capability and owner.
Partner IQ — initial scoring model
Customer overlap20%
Won / revenue evidence20%
Whitespace15%
Technical fit10%
Application specialty10%
Delivery capability10%
Relationship strength5%
Co-sell readiness5%
Momentum5%
Deal evidence hierarchy
Closed won: highest weight. What application, account profile, partner role, geography, services attach and deal path repeated?
Open: medium weight. Where is the partner actively helping create or advance pipeline?
Closed lost: diagnostic weight. Did the relationship fail on fit, competition, access, delivery, procurement, timing or execution?
No deal evidence: do not let brand size substitute for actual partnership productivity.
Partner record
What they win
Industries, account sizes, geographies, applications, cloud ecosystems and transformation types where the partner demonstrates real success.
Associated companies
Client relationships with evidence, relationship type, confidence, likely Kore.ai customer status, known account team and opportunity overlap.
Services economics
Architecture, integration, process mapping, data, security, governance, change management, deployment and managed services the partner can monetize.
Enterprise Account
↔
GSI / BPO
↔
Kore.ai
↔
AWS / Microsoft
↔
CRM · ITSM · CCaaS · Data
04 · OPPORTUNITY IQ
Convert account intelligence into a deal hypothesis.
Opportunity IQ answers whether there is a real, timely, winnable commercial motion—not just an attractive account.
01
Fit
ICP + application relevance + measurable business problem + architecture compatibility.
02
Access
Known buyers, partner relationships, account teams, executive sponsorship and warm routes.
03
Timing
Transformation programs, renewals, migrations, AI programs, new leadership, cost programs, RFPs and partner activity.
04
Economics
Kore.ai revenue potential, partner services value, cloud workload impact, expansion potential and cost of pursuit.
05
Competition
Incumbent products, political ownership, replacement risk and whether Kore.ai should coexist, displace or walk.
06
Execution
Next step, technical validation, business case, mutual commitments and what evidence would materially change priority.
Opportunity output
| Field | Example Output |
|---|---|
| Recommended route | AWS + implementation partner + Kore.ai |
| Primary application | AI for Service |
| Land use case | High-volume customer self-service + human-agent assistance |
| Expansion | Additional intents → voice → quality → proactive service → agent governance |
| Partner economics | Cloud workload + integration / transformation services |
| Next action | Validate account ownership and use-case timing with AWS AE; map implementation partner |
05 · PARTNERSHIP DEVELOPMENT & SALES
Build reusable plays instead of generic partner outreach.
Each play should define the trigger, value for each party, target personas, proof, next step and measurement plan.
HYPERSCALER
Cloud workload / committed-spend motion
Find accounts where a Kore.ai workload advances AWS or Microsoft AI objectives and where approved marketplace or co-sell paths can simplify procurement. Lead with customer value and workload relevance—not “quota burn” language.
GSI
Services attach
Show the surrounding implementation opportunity: process mapping, architecture, integration, data, security, testing, governance, change management and managed services.
INSTALLED BASE
Partner whitespace mining
Cross partner-served accounts against Kore.ai ICP + AI IQ to find high-fit clients where the partner already has trust or delivery ownership.
TRIANGLE
Hyperscaler + GSI + Kore.ai
Customer gets platform and delivery; GSI gets services; hyperscaler gets workload; Kore.ai gets a credible route to deployment and expansion.
RECOVERY
Stalled / orphaned opportunity
Re-open deals where a partner can change the loss condition: executive access, implementation capacity, procurement route, cloud alignment, local delivery or trust.
GOVERNANCE
Agent-sprawl wedge
When customers already have agents across frameworks, lead with governance, policy, observability and management rather than forcing a replacement discussion.
BPO / CX
Human + AI service transformation
Frame automation as a way for service providers to improve delivery economics and create higher-value AI-enabled managed services, not simply eliminate labor.
SOVEREIGN / REGIONAL
Localized agentic transformation
Pair Kore.ai platform capabilities with local infrastructure, compliance, language, industry expertise and delivery relationships.
PARTNER-TO-PARTNER
Broker the ecosystem
Connect the GSI account partner, hyperscaler AE and Kore.ai account team when all three have a rational economic role in the same customer transformation.
10-minute partner meeting structure
Context
What Kore.ai does now; where Artemis, AMP and applications fit.
Account overlap
Share 2–3 specific account hypotheses rather than a generic partner pitch.
Mutual economics
Customer outcome, partner services or workload value, and Kore.ai application.
Action
Pick one account, one introduction or one enablement step with an owner and date.
06 · COMPETITION
Competitive intelligence should improve allocation.
The goal is not to make Kore.ai “win” every row. It is to understand when to stay, coexist, displace or stop spending time.
Stay
Application, architecture, economics and partner route fit Kore.ai naturally. Invest.
Coexist
An incumbent can remain while Kore.ai fills orchestration, governance, service or workflow gaps.
Displace
A documented limitation creates a credible replacement business case and the switching cost is justified.
Walk
Another platform is structurally better suited or politically entrenched. Preserve resources for a stronger pursuit.
Competitive footprint to map inside top accounts
NATIVE PLATFORM
Cloud / suite agents
Microsoft, AWS, Google, Salesforce, ServiceNow and other strategic platforms that may compete, coexist or create a partner route.
SERVICE / CONTACT CENTER
CCaaS + CX automation
Identify incumbent contact-center, virtual-agent and agent-assist layers and whether Kore.ai integrates, augments or replaces them.
AGENT FRAMEWORKS
Open / custom agent stacks
Agent frameworks may be a build alternative for Artemis but can also create an AMP governance opportunity when enterprises operate heterogeneous agent estates.
07 · RELATIONSHIPS & SIGNALS
Who knows who—and why now?
Relationship strength and timing should be first-class commercial data, not notes buried inside CRM activity.
Network / “Who knows who?”
Kore.ai account owner → target executive
Hyperscaler AE → cloud / AI leadership
GSI account partner → business sponsor
Implementation team → architecture / operations
Executive sponsor → executive sponsor
Score relationship strength as strong / medium / weak / inferred, with evidence and last verified date.
Signal engine
New CIO / CAIO / CX leader
Contact-center or ITSM modernization
AI agent program / agent proliferation
Cloud migration or marketplace procurement
New GSI / outsourcing contract
Cost-reduction or productivity mandate
Digital transformation RFP / program
Regulatory / sovereignty requirement
08 · PARTNER ACTIVATION
Signed is not the same as producing.
A useful partner program measures how quickly a relationship turns into repeatable account activity and revenue.
Signed
Commercial relationship exists.
Enabled
Seller + technical teams understand use cases and economics.
Mapped
Joint accounts, contacts and whitespace identified.
Pipeline
Partner-sourced / influenced opportunities are active.
Repeat
Won motion becomes a reusable play.
Time to first opportunity
How quickly enablement turns into a real pursuit.
Pipeline / activated partner
Separates productive relationships from inactive logos.
Win rate with partner
Compare partner-assisted performance to similar direct pursuits.
Repeat rate
Does the first win create another qualified opportunity?
09 · JOINT BUSINESS PLANS & ATTRIBUTION
Make mutual commitments visible.
Top partners need an account plan and a clean attribution model so the company knows what the ecosystem actually contributes.
Joint Business Plan
FY revenue + pipeline target
Top joint accounts
Priority applications / industries
Executive sponsors
Enablement + certifications
Joint marketing / field plan
QBR commitments and blockers
Attribution types
Partner sourced: partner created the opportunity
Partner influenced: partner materially advanced an existing opportunity
Partner fulfilled: partner implements or operates the solution
Marketplace transacted: hyperscaler / marketplace is procurement vehicle
Co-sold: joint seller-to-seller pursuit
One opportunity can have multiple partner roles; attribution should not force all ecosystem value into a single field.
10 · SOCIAL + FIELD DEVELOPMENT
Build partner mindshare around specific account motions.
Content and events should support account and partner strategy rather than become activity for its own sake.
Account-based social
Translate Kore.ai customer stories, product releases and use cases into role-specific content for hyperscaler sellers, GSI account partners and enterprise AI leaders.
Monthly lunches
Small Bay Area partner sessions around one topic or account cluster. Track invitations → attendance → follow-up meetings → opportunities → pipeline.
Quarterly dinners
Invite senior ecosystem leaders with real budget, account influence or implementation ownership. Measure commercial outcomes rather than event attendance alone.
11 · MANAGEMENT ANALYTICS
Show whether the partner strategy is creating leverage.
The management layer should expose revenue, activation, applications, ecosystem mix and whitespace without confusing activity with output.
Pipeline
Partner sourced · influenced · direct · marketplace · co-sell.
Partner economics
Pipeline / partner · revenue / partner · deal size · win rate · sales cycle.
Application mix
Artemis · AMP · AI for Service · AI for Work · AI for Process and vertical workflows.
Whitespace
High-fit accounts accessible through partner relationships but not yet in active joint pursuit.
Four IQs + one priority
ACCOUNT IQ
Should we want them?
AI IQ
Where can we help?
PARTNER IQ
Who can create leverage?
OPPORTUNITY IQ
Is there a deal now?
Pursuit Priority
Account Fit × AI Opportunity × Partner Access × Timing × Commercial Potential × Relationship Strength. The score must always show the evidence that raised or lowered it.
PUBLIC RESEARCH BASIS
What this work sample is grounded in.
These links are used to distinguish public facts from the proposed operating framework above.
Kore.ai Agent Platform {Artemis}Current platform positioning, architecture and public capabilities.
Agent Management PlatformCross-framework agent governance and management.
Kore.ai PartnersStrategic-partner positioning and partner ecosystem.
AWS Strategic CollaborationBedrock, Amazon Q, Amazon Connect, Marketplace and ISV Accelerate.
Microsoft Strategic PartnershipAzure AI Foundry, Copilot ecosystem and Azure IP Co-sell.
Atos UK&ISovereign agentic AI and regulated-enterprise delivery.
TeKnowledgeStrategic AI/CX/cybersecurity services relationship.
Teleperformance / TP InfinityCX, reseller and managed-services partnership.
Inception / G42Regional AI-native application partnership.
Gulf EdgeThailand / regional AI transformation partnership.
San Mateo strategic headquartersBay Area ecosystem and customer proximity.
Customer storiesUse-case and outcome evidence to populate application metrics.
The end state is not a partner database. It is a system that tells the manager: which relationship can create the most valuable commercial action today, why, and what evidence supports it?