Salesforce and Perficient announced a comprehensive partnership to build autonomous, workflow-embedded agents on Salesforce’s platform, aligning delivery muscle with Agentforce capabilities and Data Cloud. In parallel, Salesforce is pushing explicit guardrails for enterprise agents, expanding its trusted foundation, the Einstein Trust Layer, and publishing operational guidance for secure deployments in its series on Agentforce governance. Recent platform updates reinforce visibility and control via Agentforce 3 and broader “trusted AI” foundations detailed here.

Partners should treat this as a signal to formalize “agent readiness” assessments and wrap Salesforce’s trust primitives into repeatable offers. They can use Agentforce observability to prove bounded autonomy, then price outcomes on adoption gains and MTTR reduction. Early movers who align with this alliance model will capture premium services margins, while vendors who integrate trust telemetry will see faster enterprise uptake.

Proofpoint advanced its “Satori” posture with a platform page on agentic AI for SecOps and integrations across the ecosystem, with more detail on agent collaboration in a recent corporate post.
For partners, codify incident-response runbooks as bounded-autonomy agents, layer compliance, and sell managed detection with audit-ready evidence. Align marketplace listings to lower-tier Sentinel commitments to ease trials.

A new study highlighted by Sage’s newsroom and summarized by ITPro found higher growth among partners that invest in AI and vertical specialization, with top performers more likely to run dedicated AI practices and deliver measurable outcomes.
If you run partner programs, tie enablement to micro-vertical use cases and turn AI from a “feature” into a services P&L. Build co-sell plays around industry agents and price for outcomes, while updating incentives to reward specialization and verified customer impact.

Shirin Ghaffary of Bloomberg report that OpenAI completed an employee share sale implying a ~$500B valuation, surpassing SpaceX in valuation. See coverage from Bloomberg. Investors participating include Thrive Capital, SoftBank Group Corp., Dragoneer Investment Group, Abu Dhabi’s MGX and T. Rowe Price.
For the ecosystem, this likely accelerates infra partnerships and agentic platform bets across clouds, chips, and enterprise distribution. Expect more “powered-by” co-builds, stricter governance expectations, and quicker cycles on agent frameworks competing for standard status.

Microsoft introduced an open-source Agent Framework that makes multi-agent systems easier to build, observe, and govern. The company also continues to seed the stack with agent standards like the A2A protocol and earlier foundations such as the Responses API.
If you build on Microsoft, move beyond “single-bot skills.” Design multi-agent services with policy and observability first, line them up for marketplace listing, and prep co-sell with a crisp ROI story. Security sellers: note the new Sentinel commitment tier, which can make pilot economics easier for SOC-adjacent agents.

ServiceNow unveiled AI Experience, a unified conversational interface with governance and security baked in, and published the formal press release. This positions ServiceNow as the orchestration layer for multimodal agents that tap workflow, knowledge, and policy in one UI.

Partners should migrate from custom portals to conversational experiences. Package vertical “domain agents,” measure MTTR and deflection gains, and sell outcome-based renewals tied to SLA adherence and employee experience improvements.

IBM detailed Network Intelligence, blending time-series foundation models with reasoning agents to tame network complexity. The company is also priming the developer base to build agents through its TechXchange agenda.

This is a clear attach for telco SIs and MSSPs: bundle observability, change automation, and compliance into managed offers with contractual outcomes like incident reduction and energy-aware routing.

AWS’s official roundup spotlights Amazon Bedrock AgentCore, reinforcing standardized primitives for tool-use, retrieval, and governance.
Codify regulated-industry blueprints: Bedrock agents plus Step Functions for auditable flows. Price on time-to-value and compliance assurance, especially in public sector and healthcare.

The NBA and AWS locked a multi-year deal making AWS the league’s Official Cloud and Cloud AI Partner, with plans to serve up real-time, AI-powered stats and context across broadcasts, the NBA App, and team operations. For partners, this is a rights-managed, premium data supply: tracking, probabilities, and event streams that can be packaged into analytics products, fan apps, and ops tooling for clubs, broadcasters, and sponsors.
Treat this as a template for “governed data + Bedrock agents + marketplace.” Ship repeatable offers: Bedrock agents for media workflows, Step Functions for auditable pipelines, and dashboards for teams and networks. Attach outcome-based pricing to engagement, ad yield, and ops efficiency.

PartnerStack and Wynter released the new State of Partnerships in GTM 2026 report, with the press note on PartnerStack and the download page here. Wynter also amplified key findings on LinkedIn. The throughline: integrated ecosystems outperform standalone channels on acquisition and retention.
Interpretation for BD and ops leaders: test agent-assisted partner matching and activation. Aim for onboarding cycle-time cuts and attach rates as your north-star metrics, then codify the motions into marketplace listings and solution accelerators.

6sense previewed new agentic capabilities for orchestrated GTM ahead of its Breakthrough event, framing agents as the connective tissue for signals, data, and execution. See the company’s newsroom update, plus thought leadership on agents in ABM here and an overview of their approach here.
GTM teams should pilot “closed-loop” agents inside partner motions: intent-based routing to the right partner, automated follow-ups, and renewal risk plays. Measure cycle-time compression and partner-sourced pipeline lift to justify expansion.

MAI closed a $25M round to scale AI agents that adjust bids, budgets, and creative in real time across major ad platforms. The company’s own write-up sits on its blog, with additional details via Kleiner Perkins, and reporting from Digital Commerce 360. Early customers cited substantial sales lift and agents managing material monthly ad spend.
For martech ecosystems, this is a cue to productize “agent-as-a-service” bundles with shared attribution. Agencies and ISVs can co-sell integrations that convert ad-ops from reactive knobs to proactive revenue engines, using proofs based on incrementality and CAC payback, not CTR.

Three practical takeaways for Partner & GTM leaders:

Expect agent orchestration to be a board-level conversation, marketplace offers to pivot from “skills” to governed outcomes, and specialist partners to outpace generalists on velocity and margins. Those who productize trust, verticalize value, and instrument co-sell will own the next wave.