Sales
- Lead qualification
- Account & prospect research
- Follow-ups and next steps
- Opportunity intelligence
- Proposal generation
- CRM maintenance
Ailace Cloud is a Salesforce-led Agentic AI Transformation and Automation partner. We combine AI agents, Salesforce, enterprise automation and integrations to redesign how work actually gets done — from opportunity discovery through architecture, governance and production deployment, on a defined scope at a fixed price.

Deal-health review
Claude reasons over live pipeline and updates records through governed actions.
Policy guardrails
Deterministic Flow rules before any agent write — always auditable.
Run feed last 60s
19 skills run org health audits, security reviews, forecast checks, data clean-up, board packs and service backlogs from inside your own Claude. Each one is read-only unless its card says otherwise, and your Salesforce data never reaches Ailace.
A health score and a ranked technical-debt backlog for your whole org.
Read-only · about 8 minFind risky access, unused connected apps and over-privileged users before attackers do.
Read-only · about 10 minA risk-adjusted forecast and the questions to ask each rep, before the forecast call.
Read-only · about 7 minSort every case, flag SLA risk, and draft replies for agents to approve.
Writes only with your approval · about 6 minMost AI projects bolt an assistant onto a process that was designed for people clicking through screens. The opportunity is bigger than that: when agents can reason, use tools and take action, the workflow itself can be redesigned.
Enterprise systems hold the data and enforce the rules, but they only move when a person opens a screen and operates them step by step.
Deterministic automation removes the clicks it can predict, but it stops at anything that needs judgement, context or an exception path.
AI agents read context, reason about it, use tools, take governed action and hand work to a person when judgement is genuinely required.
Not every workflow needs an AI agent. We combine deterministic automation, enterprise software and AI where each is actually the right answer — and we will tell you when a Flow beats a model.
Customers come to us with a business problem, not a technical task list. You choose the process you want to change; we choose the technology that changes it.
Salesforce already holds your customers, cases, opportunities, communications, workflows, permissions and business data — which makes it one of the most valuable environments to deploy enterprise AI agents. Claudeforce put Claude behind Agentforce, Slack and the Salesforce in Claude plugin, and these four pieces are where a transformation plan starts.
37 prebuilt sales skills that reason over live revenue context and take governed action from inside Claude. We handle role mapping, rollout, and custom skills for your motion.
Pilot now · open beta Sept 2026Claude powers the Atlas Reasoning Engine, Agentforce Vibes, and Coworker, and is selectable in Agent Builder. We build the agents, actions, and approval gates around it.
Agent Builder · Vibes · CoworkerSalesforce exposes data, logic, and actions through SIforce (formerly AIforce, renamed 9 October 2026), MCP servers, APIs, and CLI tools. We write the MCP tools, Headless 360 patterns, and Slack Claude Tag workflows you need.
MCP servers · Headless 360 · Claude TagClaude runs inside the Salesforce trust boundary via Amazon Bedrock. We add least-privilege scopes, eval sets, and audit dashboards so leadership can prove what agents did.
Bedrock · Trust Layer · evalsReal business processes cross CRM, ERP, email, documents, websites, APIs, databases and external services. An agent that stops at the edge of one system only automates part of the work, so we connect the rest of the process too.
We have spent years building the systems enterprises actually run on. That is what lets an agentic redesign reach production instead of staying a demo — architecture, security, data, integration and long-term maintenance included.
Salesforce in Claude skills, Claude-reasoned Agentforce agents, MCP tools, Claude Code engineering, and the governance that makes them safe to run in production.
Explore Claudeforce →Roadmaps, cloud selection, org design, configuration strategy, and implementation planning aligned to measurable release goals.
Talk to us →Public-facing websites, partner portals, content architecture, branded UI, and secure self-service journeys.
Talk to us →Reusable components, secure service layers, Flow orchestration, integrations, and package-minded engineering patterns.
Talk to us →Sales, service, and operations agents that reason, retrieve CRM context, trigger actions, and escalate safely inside policy.
See agent capabilities →Migration planning, reporting models, semantic cleanup, operational dashboards, and delivery metrics with business meaning.
Talk to us →Transparent backlog management, release support, hypercare, DevOps discipline, and continuous improvement after launch.
Talk to us →Optimizing public-facing sites for traditional search (SEO) and AI-driven answer engines (AEO) to ensure visibility in search results, ChatGPT, Claude, and Gemini.
Explore SEO & AEO →Claude decides and drafts. Flow and Apex validate and act. Every hop leaves an audit record. That is the pattern we ship for sales, service, operations, and engineering teams.
1name: service-triage-agent2reasoning: claude# Agentforce · Bedrock trust boundary3scope: [case, contact, knowledge]4policy:5write: require_human_approval_if refund > 5006escalate: on sentiment < 0.27audit: true# every action is logged8tools:9 - mcp.salesforce.query10 - flow.createCase11 - slack.claudeTag.post12evals: ailace/evals/service-v2
Roll out the prebuilt sales skills, then design custom ones for account plans, renewal risk, and quote hygiene — with permissions mapped per role.
Case triage, knowledge answers, and handoffs built in Agent Builder with Claude reasoning and deterministic Flow and Apex actions.
Agentic development for Apex and LWC, custom MCP tools over your services, and Claude Tag workflows that keep teams in Slack.
Golden test sets, prompt and policy versioning, Trust Layer settings, and dashboards so the agent can be measured, improved, and trusted.
What changed for the business, first — the technology that enabled it, second. Outcomes are adapted from internal capability materials and presented without client names. Every programme ran the full Discover → Redesign → Build → Deploy → Optimize process.
Full-cycle Salesforce workflows with valuation logic, document-heavy processes, and ongoing release cadence for complex operations.
Sales Cloud · Integrations · OpsMigrated large catalogs, supported tiered pricing and CPQ-style logic, and modernized commerce experiences connected to Salesforce.
B2B Commerce · CPQ · Experience CloudMigration-heavy programs with archive strategy, support-process redesign, and platform controls for long-lived operational data.
Service Cloud · Revenue Cloud · MigrationTurned bulky files into structured, reportable Salesforce data using LLM extraction patterns and scalable storage design.
AI extraction · AppExchange · ReportingTightly controlled workflows for regulated operations, blending service processes, field operations, and strict change management.
Healthcare · Compliance · ServiceLightning Utility Pack rollouts, 2GP-aware architecture, and AppExchange-safe extensions that evolve without breaking packaging.
AppExchange · Managed packages · LWCEvery transformation engagement runs the same rhythm, with visible artifacts and acceptance criteria at each step so you always know what "done" looks like before you approve it.

Understand the process, its real cost, time and volume, then identify automation opportunities and where humans must remain in the loop.
Reimagine the workflow around agents rather than inserting AI into every existing step — agent and human responsibilities, decision boundaries, approvals, data access and escalations.
Implement Agentforce, custom agents, Salesforce automation, APIs, LLM integrations, workflow engines, data pipelines and any interfaces the process needs.
Test against production-like scenarios, add monitoring, guardrails and human approvals, then release progressively rather than all at once.
Measure automation rate, handling time, cost per transaction, error rate, human intervention and business impact — then improve against those numbers.
AI has changed software productivity dramatically, and we do not think a customer should pay more simply because work took more hours. We scope transformation engagements around deliverables, milestones and acceptance criteria — so our incentives match your outcome, not our timesheet.
A short fixed-price engagement to find which of your processes are genuinely suitable for AI agents and automation — and which are not.
Take one valuable workflow from current state all the way to production. Fixed scope, fixed price, defined acceptance criteria.
For larger transformations spanning several systems and teams, delivered as a defined programme with milestone-based pricing.
A recurring fixed monthly service that keeps agents working well after launch, as your data, models and business change.
Need execution capacity instead of a transformation engagement? We also provide experienced Salesforce, AI, full-stack, QA and content specialists as specialist delivery capacity — on fixed monthly capacity, fixed deliverables or a fixed sprint.
Factual, lightweight, and compliant. No named clients — just what is already visible on public Upwork profiles and AppExchange-linked work.
Public Upwork service pages currently show 100% Job Success and Top Rated Plus positioning on the Salesforce-focused profile.
★★★★★
Consistent five-star feedback on Salesforce setup, Experience Cloud, AppExchange, and 2GP work.
A visible review snippet on the AppExchange-related Upwork service page reinforces speed and quality without naming the client.
We deliver inside both ecosystems: Salesforce architecture and AppExchange discipline, plus Anthropic's partner program for Claude deployments.
We reply within one business day. Tell us the business outcome you are trying to change — not a technical task list — and we will come back with where agents and automation actually create value.
Around deliverables, milestones and acceptance criteria — not hours. An assessment, a transformation sprint and a larger enterprise programme are all scoped and quoted as a fixed price, and managed agent operations runs as a fixed monthly service. AI productivity gains should reach you, not turn into more billable hours.
No, and we will say so. Deterministic automation is often faster, cheaper and safer than a model, and plenty of steps should stay with a person. We combine deterministic automation, enterprise software and AI where each is appropriate, and the assessment is where we work out which is which.
Salesforce is our strongest platform and usually the best place to start, but business processes rarely live in one system. We connect agents to ERP, AWS, Microsoft, Google, databases, email, telephony, document platforms, custom APIs, internal applications and third-party SaaS wherever the process requires it.
Claudeforce is the expanded Salesforce and Anthropic partnership announced on 26 August 2026: Claude as the reasoning engine across Agentforce and Slack, plus the Salesforce in Claude plugin. Readiness work, Claude-reasoned Agentforce agents, MCP tooling, and Claude Code adoption can all start now.
Ailace Cloud is a Salesforce partner and a member of Anthropic's Claude Partner Network. Ask us for partner references and certification details on the call.
Yes. We design Claude-powered Agentforce agents and Salesforce in Claude skills using prompts, Flow, Apex, MCP tools, approvals, and clear action boundaries.
Claude runs inside the Salesforce trust boundary via Amazon Bedrock, with enterprise safeguards and zero data retention options. We add least-privilege scopes, Trust Layer settings, and audit logging so you can prove it.
Yes. We support rollouts, extensions, LWC wrappers, Apex services, 2GP-aware architecture, and security-review-minded patterns.
Global delivery from India with overlap windows for US, UK, EU, and APAC teams. Engagement hours are defined up-front.