The Digital Workforce Pillar
An Agentforce consulting partner for AI agents that do real work
Salesforce Agentforce consulting, implementation, and managed services from certified Agentforce consultants — this page is everything we know about putting agents to work, in one place: what they actually do, the platform they run on, the surfaces where people meet them, the governance that makes them safe, and the delivery discipline that makes them succeed. Read it all before you talk to anyone — including us. That's the point.
What Agentforce is — and how it works
The GuideOur Salesforce AI consulting practice covers the full arc — Agentforce implementation services for the first pilot, agent design and guardrails at scale, and Agentforce managed services for the tuning that never stops.
Agentforce is Salesforce's platform for autonomous AI agents — software workers that plan and execute tasks rather than merely suggesting text. Agents run on the Atlas Reasoning Engine (plan → evaluate → refine), are grounded in your Salesforce and Data 360 data, act only through explicitly granted actions and permissions, and escalate to humans with full context when they shouldn't proceed. Salesforce reports 66% of service organizations now run AI agents, with 70% of adopters seeing measurable value within 60 days — and, at Reddit, 46% case deflection with response times falling from 8.9 to 1.4 minutes.
The trust story has three layers, often conflated: platform security (agents can't see or touch what their user context can't), the Trust Layer (masking, zero-retention model handling, toxicity detection, audit trails), and your guardrail design — topics, instructions, and deterministic paths for regulated steps. The first two ship with the platform. The third is where implementations succeed or fail, and it's the one you're actually buying from a partner.
What agents do, role by role
The Workforce
Customer service agents
Resolve routine cases end to end — order status, returns, account questions — grounded in your knowledge, deflecting the volume that burns out human queues. The classic Service Cloud console is unchanged; deflection and console-side assist are additive. Escalations arrive with transcript and context, never “please repeat all that.”
Sales & revenue agents
Qualify inbound leads conversationally, draft quotes validated against CPQ rules, and keep the CRM current without rep data entry. Paired with Agentforce Revenue Management (Revenue Cloud's successor), agents work the quote-to-cash middle: quoting, contract verification, order creation, invoicing — on a catalog modeled cleanly first.
Field service agents
Agentforce Field Service pairs your existing optimization engine with agents that fill schedule gaps from cancellations, brief technicians en route (customer history, asset, likely parts), give dispatchers plain-language control, and write post-work summaries. Industry research says almost half of appointments don't go as planned — most causes live in configuration agents can now work around.
Document & contract agents
Our signature pattern, nobody else's: agents that trigger Nintex DocGen for quotes, letters, and contracts, route them for signature, and file them — with Redlining Manager closing the negotiation loop. The document layer is where our 16 Nintex certifications compound with the agent layer.
Employee-facing agents
IT and HR service desks, executive assistants, policy questions — agents that answer from governed data in the tools employees already use. The highest-adoption agents we deploy, because nobody has to remember to open anything new.
Marketing & engagement agents
Segment-aware campaign assistance, SDR-style follow-up, and event engagement — including the KemiCard wallet-pass patterns we run at Salesforce community events across North America.
Where people meet agents: Slack, Voice, and every channel
SurfacesMost AI rollouts fail at adoption, not capability. The highest-leverage design decision in an agent program is putting agents where work already happens.
Slack: the agentic front door
Salesforce positions Slack as the agentic OS of Agentforce 360: Salesforce channels connect conversations to CRM records; agents work as teammates — notifying stakeholders, drafting content, updating records from the channel; and open APIs plus MCP let agents from across the industry live in the same surface. One home for your agents beats five portals nobody opens.
Voice: the phone tree, retired
Agentforce Voice replaces IVR with natural conversation — connected to your telephony over SIP, grounded in your data, taking real actions (booking, payments through compliant flows, record updates) and escalating with transcript and sentiment attached. Voice is the least forgiving channel; it gets our strictest testing discipline.
The rebrand, decoded — for classic cloud buyers
NamingNaming note. In late 2025 Salesforce reorganized its portfolio around the Agentforce 360 brand: Service Cloud became Agentforce Service, Field Service became Agentforce Field Service, and Revenue Cloud became Agentforce Revenue Management. Same platforms, new names, agents built in — and the skills that ran them for years still run them now.
If you came looking for Service Cloud, Field Service Lightning, or Revenue Cloud help: you're in the right place, and so are your existing licenses and skills. The platforms continue; agents are additive. Our Salesforce consulting pillar covers the classic implementations in depth — this page covers what the agent layer adds on top.
How we deliver: the 90-day pilot
Engagement- Weeks 1–2 — Discover. KAIROS™ readiness score, use cases ranked by evidence, and one chosen — narrow, measurable, high-volume. The KITE™ method governs every phase.
- Weeks 3–6 — Architect & build. Grounding, permissions, guardrails; deterministic paths for regulated steps; the agent built and adversarially tested — hostile inputs, edge cases, prompt attacks — before any customer meets it.
- Weeks 7–10 — Launch & measure. Production with health monitoring: resolution rate, escalation quality, CSAT, cost per interaction against the baseline.
- Weeks 11–13 — Prove & plan. Measured results against the business case, and an evidence-based scale plan — or an honest recommendation not to scale. Both outcomes are wins; only one is common at other firms.
Certified Agentforce Specialists (earned at Dreamforce 2025), Data Cloud and Revenue Cloud certified, delivering on a platform we've implemented since 2019. Pricing: fixed-price pilots; consumption modeling included so finance sees the cost curve before signing. Run your own numbers in the ROI calculator.
Frequently asked questions
FAQWhat is Agentforce?
Agentforce is Salesforce's platform for autonomous AI agents — digital workers on the Atlas Reasoning Engine that resolve cases, qualify leads, quote deals, and generate documents, grounded in your data and constrained by permissions and guardrails you define.
How much does Agentforce cost?
Pricing is largely consumption-based (Flex Credits per conversation) on top of Salesforce licenses. Kemisoft delivers first agents as fixed-price 90-day pilots with measured outcomes, so cost and value are known before scaling.
Is Agentforce secure enough for regulated industries?
Agents act within Salesforce's existing security model — permission sets, sharing rules, field-level security — and the Trust Layer adds data masking, zero-retention model handling, and audit trails. Real-world safety then depends on topic and guardrail design, which is where delivery discipline matters.
How long until a first agent is in production?
Typical first deployments reach production in about 90 days as a fixed-scope pilot: one narrow use case, deterministic escalation, adversarial testing before launch, and health monitoring after.
Horus is on the case
Meet Horus, the Kemisoft falcon — sharp-eyed, always on, and genuinely excited about a well-built agent. Our practice works the way he does: watch everything, act fast, escalate with full context, never lose the thread.
Horus™ is the Kemisoft falcon — named for the sky-eyed guardian of ancient Kemet.
Your first agent, measured in 90 days
One use case, fixed price, adversarially tested, and honestly reported. That’s how trust gets built — theirs and yours.
Scope a Pilot