A solution provider team in a client-facing meeting with project status visible on a wall display.

AI for solution providers.

Project delivery, multi-vendor coordination, and customer outcomes governed by approvals you can audit.

Solution provider team reviewing project status with customer.

OPERATING REALITY

Project delivery at scale, with audit trails customers trust.

Multi-vendor project complexity. Implementation handoff gaps. Customer change requests that pile up. Project status visibility that lives in PMs' heads. Technical writeup overhead that no one has time for.

PRESHai builds governed AI workflows for solution provider operations. Agents synthesize status, coordinate vendors, scope changes, assemble evidence, maintain knowledge bases. Humans approve. Audit trails follow every customer touchpoint.

IN PRACTICE

Six solution provider workflows AI can actually run.

PROJECT STATUS

Project status synthesized from real activity, not memory.

Before: Status reports get assembled by hand from PSA, Slack, email, and the project lead's memory. The cadence is inconsistent across customers, and internal stand-ups absorb the hours the team would rather spend on the work itself.
With PRESHai: Agents synthesize status from PSA, Slack, email, and project tools. PMs review and ship with confidence.
Governance: Per-project data scoping. Approval gate before customer-facing send. Audit log per status update.

MULTI-VENDOR COORDINATION

Multi-vendor implementation coordination tracked.

Before: Vendor handoffs that drop context. Implementation delays from miscommunication. Project margin eroded by rework.
With PRESHai: Agents track vendor activity, surface dependencies, draft coordination updates. PMs orchestrate humans, not status updates.
Governance: Per-project policy. Vendor-facing communication gated by approval.

CHANGE REQUESTS

Customer change requests scoped and routed without delay.

Before: Change requests that pile up. Scoping that takes days. Customer trust eroded by slow response.
With PRESHai: Agents draft initial scoping based on project context, surface implications, route to engineering for sign-off.
Governance: Change scope reviewed by engineering. Customer commitment requires approval. Audit trail per change.

IMPLEMENTATION EVIDENCE

Implementation evidence packs assembled at handoff.

Before: Handoff documentation that is incomplete or inconsistent. Customer questions weeks later that could have been answered upfront.
With PRESHai: Agents assemble implementation evidence packs: configurations, decisions, validations, runbooks. Project manager reviews and ships.
Governance: Customer data scoped per project. Approval before customer-facing handoff.

KNOWLEDGE BASE

Knowledge base maintained from real project activity.

Before: Knowledge bases that go stale. Implementation lessons that live in one engineer's head.
With PRESHai: Agents capture decisions and runbooks from project activity, route through review, publish to KB.
Governance: Editorial review before publish. Audit trail per article. Customer-confidential content scoped.

CLIENT REPORTING

Quarterly client business reviews assembled from real evidence.

Before: QBRs that take days to prepare. Account managers buried in slide-making.
With PRESHai: Agents synthesize project history, performance, savings, and outcomes. Account manager reviews and presents.
Governance: Customer data scoped per account. Approval gate before any QBR ships.

Deliver projects that compound into renewable relationships.

Tell us your delivery friction. We will scope the agents and the audit posture.

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