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Outcome in numbers

40+

Salesforce projects
delivered

250+

Certifications across the
team

5.0

Average AppExchange
rating

ISO 27001:2013 

Certified

SOC 2

Compliant

Why Gruve

A demo is easy,
a trustworthy agent is the hard part

A trustworthy agent running on clean data, governed, and owned in production. That’s what
Gruve is built for. 

We fix the data foundation first

Agents fail on data, duplicate records, ungoverned master data, broken pipelines, not the model. We build the trusted Data 360 layer before we build on it. 

AI-native delivery

AI is embedded in every phase of how we deliver, while our engineers direct and own every outcome, the same rigor, delivered faster and with a leaner team.

We keep agents accurate over time

Once live, we monitor, evaluate, and tune the data and models your agents rely on, so they stay accurate as your business changes.

You skip the from-scratch build

Agent templates, Agentforce and Data 360 Starter Packs, and Automotive & Manufacturing accelerators get standard use cases live in weeks. 

Agentforce use case readiness assessment, use-case prioritization, data and AI (Data 360) readiness, licensing guidance, target architecture, and the business case.

What included

  • Licensing
  • Agentforce roadmap & value assessment
  • AI + Data readiness review
  • Agentforce architecture
  • Trust layer design
  • Agentforce best practices

Why this service

  • Teams pick low-value or infeasible use cases and lose momentum.
  • Data isn’t ready, so agents can’t be grounded or trusted. 
  • Agentforce licensing and consumption costs are unclear, stalling the business case.

Approach

  1. 1 Agentforce use case readiness assessment and use-case prioritization (small / medium / large sizing). 
  2. 2 Data and AI readiness review against Data 360 and the Trust Layer. 
  3. 3 Licensing and consumption planning so cost is predictable.
  4. 4 Target architecture, a prioritized roadmap, and a fundable business case, starting with a complimentary use case readiness assessment.

Why now

  • The pressure to adopt AI is already here — without a prioritized, ROI-ranked plan it turns into scattered pilots that stall.
  • Waiting is expensive: every month without a plan is data debt compounding and ground ceded to competitors already deploying agents.

FAQ

What is Salesforce Agentforce advisory? 

A short engagement that assesses your AI use cases, Data 360 readiness, licensing, and architecture, and delivers a prioritized roadmap and business case.

How do you prioritize AI use cases? 

We run an Agentforce use case readiness assessment that ranks use cases by ROI and sizes each as a small, medium, or large implementation.

Is the use case readiness assessment really free?

Yes. We start with a complimentary use case readiness assessment before any build commitment.

Agent build, prompt engineering, Data 360 and system integrations, agent QA, analytics, and DevOps/CI-CD — delivered AI-native.

What included

  • Agentforce agent build
  • Multi-agent orchestration
  • Prompt engineering
  • Multilingual support
  • Integrations & ETL
  • Agent QA
  • Analytics & BI
  • DevOps / CI-CD

Why this service

  • A demo agent isn’t a production agent — it needs QA, monitoring, and deployment discipline.
  • Integrations are where agents get the context to act; weak ones make agents useless.
  • Without CI/CD and evaluation, agents drift and regress after go-live.

Why now

  • The building blocks are finally here — Agentforce 360 (Builder, Agent Script, Voice) makes production-grade agents buildable now, not next year.
  • Competitors are already shipping agents; the teams that industrialize the build with QA and CI/CD pull ahead, while ad-hoc pilots stall and erode internal trust in AI.

Approach

  1. 1 Agent build on Agentforce Builder and Agent Script, grounded in Data 360.
  2. 2 Prompt engineering and retrieval design for accurate, on-brand behavior.
  3. 3 MuleSoft / API integrations and ETL so agents have the data and context to act.
  4. 4 Agent QA and evaluation, analytics, and DevOps/CI-CD pipelines.

FAQ

What does Agentforce implementation include?

Agent build, prompt engineering, Data 360 and system integrations, agent QA, analytics, and DevOps/CI-CD — delivered AI-native.

How long does it take to go live?

Typical delivery reaches production in roughly 8–12 weeks, depending on scope.

Do you build on Revenue Cloud?

Yes — we build on Revenue Cloud (Advanced) and integrate quoting; specific CPQ-migration scope is confirmed per engagement.

Agent monitoring, LLM evaluation, RAG content operations, KPI reporting, release management, and incident response.

What included

  • Agent Monitoring
  • LLM evaluation & continuous improvement
  • RAG content ops
  • Agent analytics and observability
  • Release management
  • incident response & feedback loop

Why this service

  • No one owns agent accuracy after the project team leaves.
  • RAG content and prompts go stale, quietly degrading answers.
  • Compliance and audit expectations rise as agents touch more customers. I

Why now

  • The agents going live now will start to drift within months — instrumenting AgentOps at launch, not after the first regression, is what protects the investment.
  • Accuracy decays quietly; every agent shipped without monitoring compounds silent risk, and the cheapest time to instrument it is day one.

Approach

  1. 1 Continuous monitoring and quality scoring of live agents.
  2. 2 LLM evaluation and model/prompt tuning as better options emerge.
  3. 3 RAG content operations — pruning, refreshing, and re-grounding knowledge.
  4. 4 KPI reporting, controlled releases, and incident management with a feedback loop.

FAQ

What are Agentforce managed services?

Ongoing AgentOps — monitoring, LLM evaluation, RAG content operations, KPI reporting, releases, and incident management — that keeps agents accurate after go-live.

Why do AI agents need managed services?

Agents drift as data and the business change; monitoring and tuning keep accuracy and trust from degrading.

Can you manage agents we didn’t build?

Yes — we can take over monitoring, evaluation, and optimization of existing Agentforce agents.

Agentforce and Data 360 Starter Packs, ready-to-install agents, and Automotive & Manufacturing accelerators — a fast, low-risk first step.

What included

  • Agentforce Starter Packs
  • Data 360 Starter Packs
  • Industry specific accelerators
  • Prompt and guardrails framework
  • Industry specific data templates
  • Lumin

Why this service

  • First projects need proof fast, not a multi-quarter program.
  • Standard use cases don’t need bespoke builds — templates get there sooner.
  • Big upfront scope raises risk and delays value.

Why now

  • You need proof fast, not a year-long program — a fixed-scope Quick Start puts a working agent in front of stakeholders in weeks, at low risk.
  • A low-risk first win now builds the internal proof and momentum to fund the larger program; waiting for a perfect full-scope plan forfeits the head start.

Approach

  1. 1 Pick a high-value use case from the assessment.
  2. 2 Deploy a Starter Pack or ready-to-install agent in a fixed 4–6 week scope.
  3. 3 Validate value against a baseline, then expand into a full build.
  4. 4 Automotive and Manufacturing accelerators skip the groundwork for standard industry use cases.

FAQ

What is an Agentforce Quick Start?

A fixed-scope, fixed-price package that stands up your first Agentforce or Data 360 use case in about 4–6 weeks.

What’s the difference between a Starter Pack and a full build?

A Starter Pack uses ready-to-install agents and templates for standard use cases; a full build is bespoke — the Quick Start is the fast, low-risk first step.

Do you offer industry accelerators?

Yes — Automotive and Manufacturing accelerators skip the groundwork for standard industry use cases.
Why now

One-liner for why now

The platform is finally ready

Agentforce 360, Data 360, and a headless, API-first Salesforce stack are generally available now — for the first time, the building blocks for production agents are all here. 

The mandate is set; the clock isn’t

The question is no longer whether to use AI — it’s whether you ship a first agent to production before another cycle is lost to pilots that never land. 

Competitors are already in production

Early movers are putting agents live now; the advantage compounds monthly, and catching up later costs more than moving first.

There’s no reason to wait for a full cleanup

We run data remediation and agent activation in parallel, so value shows up in weeks instead of after a year-long project. 

Approach

How we do it differently

Week 1

Data readiness assessment

We map your data gaps and highest-ROI use
case and hand you a prioritized business case.
No cost, no commitment.

Week 3

Pilot

A working agent on your real data, in your
environment — not a sandbox demo.

Week 8

Production & scale

Full deployment, monitoring, and a measurable
KPI delta versus your baseline.

Talk to a facilitator
Industries we serve

Purpose-built agents
for the industries
we know best

Every industry agent below runs on the same Agentforce and
Data 360 foundation, tuned to the workflows and systems
specific to that vertical.

Voice, service, and finance agents built on Automotive Cloud.

  • AI Voice Agent for Dealerships
  • Automotive Service & Maintenance AI Agent 
  • Captive Finance AI Agent 

Logistics, CPQ, and claims agents built on Agentforce and Revenue Cloud.

  • Supply Chain & Logistics AI Agent
  • AI Quoting Agent for Salesforce Revenue Cloud
  • Warranty Claims Automation AI Agent

Voice, messaging, and campaign agents built on Agentforce and Marketing Cloud.

  • Retail Store Associate AI Agent
  • Lumin — Marketing Cloud Messaging Platform
  • AI Marketing Campaign Agent

Lead qualification, coaching, and deal-scoring agents built on Sales Cloud.

  • AI SDR Agent for Inbound Lead Qualification
  • Revenue Intelligence AI Agent
  • Deal Health & Opportunity Scoring AI Agent

An invoice-checking agent built on Experience Cloud.

  • Partner Invoice Validation AI Agent 

FAQs

Frequently asked questions about
Data & AI

What is Agentforce? 

Agentforce is Salesforce’s platform for building and deploying autonomous AI agents, part of the Agentforce 360 family alongside Data 360.

What does an Agentforce implementation partner do? 

It assesses use cases and data readiness, builds and integrates agents, and runs them in production — Gruve does all four, AI-native.

How quickly can we deploy a Salesforce AI agent? 

Gruve targets production in about 8–12 weeks, starting with a complimentary data readiness assessment and a working pilot on your real data.

Get Started

See what an agent
could do on your data. 

Start with a complimentary data readiness assessment.
A prioritized business case in two weeks, no commitment. 

    Response within 24 hours · NDA available on request