| Dimension | Salesforce Agentforce | Akka |
|---|---|---|
| What it is | A SaaS application-layer agent platform inside the Salesforce ecosystem | A full-stack agentic systems platform |
| Scope | Agents grounded in Salesforce CRM metadata and Data Cloud; external systems reached via Flow / API callouts | General-purpose runtime for any agentic workload, across any system |
| Platform dependency | Add-on to Salesforce licenses; Data Cloud is a technical prerequisite | None — Akka cloud, any hyperscaler VPC, your Kubernetes, on-prem, sovereign cloud |
| Availability SLA | No contractual uptime SLA; standard MSA "commercially reasonable efforts," ~99.9% in practice | 99.9999% — entire platform, backed by indemnities |
| RTO / RPO | Not published for the agent layer | Sub-1-minute RTO; zero-byte RPO; active-active HA/DR |
| Cost model | Consumption — Flex Credits (20 credits / $0.10 per action) or $2 per conversation | Shared compute; up to 90% lower infrastructure for the same workload; fixed annual fee |
| Governance / EU AI Act | Einstein Trust Layer — toxicity/bias detection, masking, audit log, scoped to Salesforce | Aspect-woven runtime enforcement + full pre-production governance (189 regulations / 962 controls) |
| Build audience | Salesforce admins / developers in Agentforce Builder & Agent Script | Two independent lifecycles — build (PM/dev/ML/domain) and govern (risk/security/compliance) |
| Certifications | Salesforce trust / compliance program | 19 standards (SOC 2 II + public SOC 3, ISO 27001/42001, HIPAA, PCI DSS, GDPR, NIS2, DORA, EU AI Act, NIST AI RMF) |
Agentforce is an application-layer agent platform built into Salesforce. Its agents are authored in Agentforce Builder, compiled by Agent Script into Salesforce metadata, and executed by the Atlas Reasoning Engine — grounded in Salesforce CRM objects and Data Cloud. That is what makes it excellent inside Salesforce, and what bounds it there. Salesforce describes a four-layer stack: a Data layer (Data Cloud), an Application layer (CRM objects and business logic), an AI/Model layer (Einstein models, the Atlas Reasoning Engine, and third-party LLMs), and an Agent layer (salesforce.com). Agentforce reaches non-Salesforce systems through Flow and API callouts, but orchestration, reasoning, and state live inside Salesforce — "the goal is to make data available in Salesforce" (salesforceben.com).
Akka is not an application; it is the runtime an agentic system runs on — native agents, durable in-memory state, real-time streaming, an API layer, orchestration, observability, and governance as one platform, for any workload, independent of any single SaaS data model.
| Capability | Agentforce | Akka |
|---|---|---|
| Agents inside the Salesforce ecosystem | Native, deeply integrated | Runs alongside via APIs |
| General-purpose runtime for any agentic workload | Bounded to Salesforce; external systems via Flow/API | Built in — any system |
| State / reasoning location | Inside Salesforce (CRM metadata, Data Cloud) | Durable in-memory, vendor-neutral, 4ms / sub-10ms |
| Platform prerequisite | Salesforce license + Data Cloud | None |
| Deploy on your own infrastructure | No — Salesforce-hosted SaaS | Akka cloud, hyperscaler VPC, Kubernetes, on-prem, sovereign |
Agentforce does not publish a contractual availability SLA for the agent layer. Salesforce's standard Master Subscription Agreement commits to "commercially reasonable efforts" to make services available 24/7, not a numeric uptime guarantee; Salesforce reports roughly 99.9% uptime in practice but does not contractually commit to it, and the standard agreement provides no automatic service credits for downtime (scnsoft.com, redresscompliance.com).
| Metric | Agentforce | Akka |
|---|---|---|
| Contractual availability SLA | None published; "commercially reasonable efforts" | 99.9999% |
| Uptime in practice | ~99.9% reported, not contractually committed | 99.9999%, contractual |
| Service credits | None under standard MSA | Backed by indemnities |
| RTO / RPO | Not published for the agent layer | Sub-1-minute RTO / zero-byte RPO |
| SLA scope | — | The entire platform |
Akka owns the SLA across the entire platform, with active-active HA/DR across regions and 24/7 SRE.
AI systems built with Akka are up to 90% cheaper to operate than Python-based systems — a function of the infrastructure required for the same agentic transaction volume, not list price. The drivers are actor concurrency (~10 trillion tokens per core per year vs ~2 trillion; ~80% less compute than Python frameworks), shared compute, and micro-checkpointing. Manulife reported up to 300% more concurrency and 30–50% faster processing after porting from Python (akka.io/blog/go-slow-to-go-fast).
Agentforce is priced by consumption. Under Flex Credits a standard action costs 20 credits — about $0.10 at roughly $500 per 100,000 credits; an alternative Conversations model bills $2 per conversation, and the two cannot coexist in one org (jitendrazaa.com). The meter moves with usage. Akka runs everything on one shared-compute runtime for a fixed annual fee finance can forecast.
Akka's streaming is built into the runtime — continuous, backpressured, petabyte-scale, in-memory, with no external broker — powering both agent feedback loops and high-throughput data processing (the engine behind Tubi's real-time hyper-personalization at 5 billion tokens per second).
Agentforce, as a SaaS application-layer product, has no comparable general-purpose streaming runtime; data movement runs through Salesforce platform services and Data Cloud, inside the Salesforce ecosystem.
Agentforce governs through the Einstein Trust Layer: toxicity and bias detection, prompt/response masking, a zero-retention LLM gateway, and an audit trail logged to Data Cloud (salesforce.com/eu). It is real, and it is scoped to the Salesforce ecosystem and the data flowing through it. It is not a broad EU AI Act conformance program: it does not perform pre-deployment high-risk classification, gate a deployment before it ships, capture multi-persona regulatory sign-offs, or produce a sealed, portable audit artifact for systems outside Salesforce.
| Violation | Maximum Fine |
|---|---|
| Prohibited AI practices (Art. 5) | EUR 35M or 7% global turnover |
| High-risk obligations (Art. 9-15) | EUR 15M or 3% global turnover |
High-risk AI carries a 10-year logging-retention obligation (Art. 72); the penalties apply to the whole AI system, not only the part inside Salesforce.
At the runtime: inline guardrails, policies, LLMs-as-a-judge, and sanitizers; hash-chained immutable evidence; HITL/HOTL control; atomic PII scrub-with-explain; pre-deployment classification against 189 regulations and 962 controls (574 carrying a financial penalty); multi-persona sign-offs; a sealed Governance Posture Package; and Akka Verify proving conformance from the running system — for any workload, not only the part inside a single SaaS application.
Building on Agentforce means Salesforce admins and developers authoring agents in Agentforce Builder and Agent Script; there is no co-equal, independently versioned governance lifecycle owned by risk and compliance. Akka runs two independent lifecycles on one platform via Akka Specify:
The build lifecycle and the governance lifecycle are versioned and tested independently, by different audiences — a workflow Agentforce has no equivalent for.
Salesforce the company is durable; the question is the Agentforce product. Agentforce 360 reached general availability on February 23, 2026, in the Spring '26 release, introducing Agentforce Builder, Agent Script, Agentforce Voice, and Intelligent Context (ciodive.com). The product is young and moving fast — the authoring model and the pricing model are both recent. Standardizing on it means accepting that maturity curve and the platform lock-in below.
| Buyer concern | Agentforce | Akka |
|---|---|---|
| Product maturity | Agentforce 360 GA Feb 2026; new authoring model (Agent Script) and pricing model recently introduced | 18 years, 100,000+ production deployments, 52 banks |
| Platform lock-in | Add-on to Salesforce licenses; Data Cloud a technical prerequisite; agents bound to the Salesforce data model | No platform dependency; portable specs; deploy anywhere incl. sovereign cloud |
| Workload scope | Excellent inside Salesforce; external systems via Flow/API | Any agentic workload across any system |
| Availability accountability | No contractual SLA; standard MSA "commercially reasonable efforts" | One platform, one SLA, 24/7 SRE — Akka owns the running system |
| Certifications & audits | Salesforce trust / compliance program | 19 standards — SOC 2 II + public SOC 3, ISO 27001/42001, HIPAA, PCI DSS, GDPR, NIS2, DORA, EU AI Act, NIST AI RMF — plus annual pen tests, SBOMs, 40+ policies (trust.akka.io) |
| Budget predictability | Consumption metering that scales with usage | Fixed annual fee finance can forecast |
The decision is scope and accountability: Agentforce is the right agent for work that lives inside Salesforce; Akka is the runtime for agentic systems that must span systems, carry a contractual SLA, govern to the EU AI Act broadly, and run on infrastructure you choose.
Agentforce pricing: g2.com/products/salesforce-agentforce/pricing; jitendrazaa.com — Flex Credits ~$500/100k credits, standard action 20 credits ($0.10), Conversations $2/conversation, models cannot coexist in one org (2026)
Agentforce architecture: salesforce.com/agentforce/what-is-a-reasoning-engine/atlas; developer.salesforce.com — Atlas Reasoning Engine (graph-based), Agent Script compiled into Salesforce metadata; four-layer stack (Data Cloud / Application / AI-Model / Agent)
Agentforce scope / lock-in: salesforceben.com/how-does-salesforces-agentforce-work; titandxp.com; redresscompliance.com — add-on to Salesforce licenses, Data Cloud technical prerequisite, external systems via Flow/API
Agentforce 360 GA: ciodive.com; salesforce.com/agentforce/what-is-new — GA Feb 23, 2026 (Spring '26): Agentforce Builder, Agent Script, Agentforce Voice, Intelligent Context
Salesforce SLA: scnsoft.com/blog/salesforce-downtime; redresscompliance.com — standard MSA "commercially reasonable efforts," ~99.9% in practice, no contractual uptime commitment, no automatic credits
Einstein Trust Layer: salesforce.com/eu/artificial-intelligence/trusted-ai; getgenerative.ai; gettectonic.com — toxicity/bias detection, masking, zero-retention LLM gateway, audit trail logged to Data Cloud; scoped to the Salesforce ecosystem
Akka performance: akka.io/blog/go-slow-to-go-fast — Manulife up to 300% more concurrency, 30–50% faster; ~10T vs ~2T tokens/core; ~80% less compute than Python
Akka platform: 99.9999% availability, active-active HA/DR, sub-1 min RTO, zero byte RPO (contractual indemnities); 189 regulations / 962 controls / 574 with a financial penalty; 100,000+ deployments / 18 years; profitable; Dell Technologies Capital
Akka trust center: trust.akka.io — 19 compliance standards; SOC 2 II + public SOC 3; annual pen tests, SBOMs, 40+ policies
