Ship Agentforce in 90 days. Fixed price.
Salesforce-certified pods deploy Agentforce autonomous agents on Service Cloud and Data Cloud — with topics, actions, guardrails and Atlas Reasoning tuned to your business, live in 90 days.
- 90 days — Fixed-price pilot to production
- Use-case scoping & guardrails
- Build wave
- Launch & measurement
30 minutes, no slides. A senior delivery lead reviews your stack and gives you a concrete pilot outline.
- Agentforce
- Service Cloud
- Data Cloud
- Prompt Builder
- Einstein Copilot
- MuleSoft
A working pilot in 90 days — not a 40-page slide deck.
We shortlist 2–3 high-ROI Agentforce use cases with your business — then codify topics, actions and Trust Layer guardrails before writing a single prompt.
Data Cloud streams, Apex actions, Prompt Builder templates and Agentforce topics built and tested in sandbox — promoted through DX with change control.
Production launch with contained rollout, agent shadowing, Command Center dashboards and an ROI model wired to your Service Cloud KPIs.
“We took Agentforce from zero to production on 3 use cases in 12 weeks — with guardrails our risk team signed off on.”
The delivery artifacts you get, named up front.
Every Salesforce Agentforce engagement is governed by the same six artifacts. They are contracted deliverables with owners and dates — the way a systems integrator works, not a discovery deck.
- 01
Reference architecture
A signed-off Salesforce Agentforce reference architecture — environments, tenancy, network and identity boundaries, data flows and AI components — issued as a versioned diagram plus infrastructure-as-code, not a slide.
- 02
Integration surface
Every integration surface is inventoried before build: CRM and CTI, WFM, ticketing, payments, identity, data warehouse and event streams — each with contract, auth model, throughput, failure mode and owner.
- 03
Runbook
Operational runbooks per service: deploy and rollback steps, configuration change control, alert thresholds, on-call escalation paths and known-issue playbooks handed to your ops team at go-live.
- 04
Cutover plan
A wave-based cutover plan with entry and exit criteria per wave, dress rehearsal, freeze windows, number porting and data migration sequencing, rollback triggers and a go/no-go decision log.
- 05
Hypercare
A defined hypercare window after each wave — command centre, daily triage, defect burndown against severity targets, and a documented exit gate before the estate transitions to steady-state run.
- 06
SLA
Run-state SLAs and SLOs written into the engagement: severity definitions, response and restoration targets, change lead times, availability reporting and quarterly value review against the original business case.
Questions buyers ask us first.
- What does 'fixed price' actually include?
- Discovery, use-case scoping, 2–3 Agentforce topics with actions and guardrails, Data Cloud grounding, Prompt Builder templates, production launch and 30 days of hypercare.
- Do we need Data Cloud?
- For anything beyond simple FAQ, yes. We help you scope the minimum Data Cloud footprint required and stage-in additional data streams as use cases expand.
- How do you handle Trust Layer, PII and governance?
- Every topic is deployed with Trust Layer masking, retention and toxicity settings tuned to your risk profile — reviewed with your security and compliance teams pre-launch.
- Can Agentforce work alongside Einstein Copilot and our existing bots?
- Yes. We map handoff between Agentforce, Einstein Copilot for agents, and any existing MIAW / bot investments — no rip-and-replace.
- What CCaaS platforms do you integrate with?
- Any platform with a Salesforce CTI or Voice adapter — Amazon Connect, Genesys, NICE CXone, Google CCAI, Five9 and Service Cloud Voice.
Ready to see it in your stack?
30 minutes with a delivery lead. Your architecture, your KPIs, a concrete pilot outline you can defend internally.
Book a 30-min working session →