Decentralized and Fragmented
Every division solved it their own way, and now nothing can be answered across the organization.
Enterprise & Government. Records, data and governance.
One version of the truth.Defensible under audit.
We are called in when the systems that run an organization no longer agree with each other.
Document and Records Management is the specialty. Master Data and Data Architecture are the leverage, because the answer almost never lives inside a single application.
- 20+ years in regulated industries
- One accountable owner, assessment through handover
- Vendor and platform agnostic
Sound familiar?
What organizations bring us.
These are the conditions rather than the symptoms. Almost every engagement starts inside one of them, and none of them are solved by buying another system.
No Single Source of Truth
The same customer, asset or matter exists in four systems with four different values, and nobody can say which one is authoritative.
Systems That Do Not Talk
Integration was never designed, so the connective tissue between applications is people rekeying data by hand.
Master Data Nobody Owns
Core entities have no steward, no definition and no rule for which system wins, so every report disagrees with every other report.
No Enterprise Wide Change
Any change means touching a dozen systems and negotiating with a dozen owners.
Competing Applications
Duplicate technologies bought at different times, each with an internal champion defending it.
No Delivery Agility
The business asks for something reasonable and the answer is eighteen months.
Vendor Deliverables Slipping
Contracts in place, dates moving, and nobody internally with the time to hold anyone to them.
What we actually do
We work between the systems.
DMS works at the intersection of information, technology, governance and operations. Enterprise Content and Records Management is where our depth is. Master Data Management and Data Architecture are what hold the rest of the estate together, because real organizational problems rarely sit inside one product.
Coverage
Line of Business Systems
Finance, HR, asset management, case management, project delivery, whatever the core of the operation actually runs on. We work across all of them rather than inside a single vendor’s stack.
Ownership
Master Data Management
Customer, vendor, asset, employee, matter, site. One authoritative definition per entity, one accountable owner, and a published rule for which system wins when two disagree.
Structure
Data Architecture
Where each entity is created, how it moves, what transforms it along the way, and where it comes to rest. Designed once, so integration stops being a permanent maintenance tax.
Complex problems rarely respect organizational boundaries. Neither do we.
The framework
Governance is what makes it hold.
The technology matters. But technology without governance, ownership, usable information and workable processes simply automates the problem. Every architecture decision we make sits inside this frame.
Policy
Information Governance
Classification, taxonomy, metadata and retention designed against the obligations you actually operate under rather than against the current org chart. When a function moves, the model does not need rebuilding.
Records
Defensible Disposition
Retention that applies itself by content type, and disposition that actually happens. An estate where nothing is ever destroyed is not a cautious estate. It is an expensive one, and a discovery liability every time litigation lands.
Authority
Single Source of Truth
One system designated authoritative for each entity and each record class, with every other copy given a defined job that is not record keeping.
AI governance and readiness
AI reads everything it can reach.Govern it before you switch it on.
- Inventory
- Access
- Classify
- Govern
- Enable
An assistant answers from whatever its user can open. Overshared sites, stale permissions and unlabeled records become AI answers on the first day.
Where AI programs stall
Governed content unblocks AI.
Two thirds of enterprises have delayed or cancelled an AI assistant rollout over fears it would surface confidential content. The blocker is rarely the model. It is the information estate underneath it, which is the work we have always done.
Exposure
Oversharing Found and Closed
Open links, inherited permissions and sites shared with everyone, found across the estate and closed before an assistant can index them.
Access
Access Reviews That Finish
Ownership assigned and reviews run on a cycle the organization can sustain, so permissions stay right after the cleanup project ends.
Classification
Labels That Travel
Sensitivity and retention classification applied by content type, so restrictions follow the record into every AI answer and every copy.
Oversight
AI Use Policy and Review
Approved tools, permitted uses, human review points and an evidence trail, written to hold up when a regulator or auditor asks how decisions were made.
Entry points
Four situations we get called into.
We don’t begin with a product. We begin with the problem. These are the four shapes that problem usually arrives in.
The Audit
Retention Nobody Can Prove
Policy says one thing, the systems do another, and the gap only surfaces when a regulator asks. We reconcile the written schedule against what is actually configured, then close the distance between them.
The Acquisition
Two Estates, One Company
Both are internally consistent and mutually incompatible. We design the target model, decide what merges and what stays separate, and move it without a year of committee.
The Sprawl
Three Systems of Record
Repositories, file shares and collaboration sites all holding material that matters. We establish which one is authoritative and give the others a defined job that is not record keeping.
The Mandate
Decision Made Above You
Sometimes the migration is not up for debate. The work is making sure the record survives the move intact, and that the obligations in the old system are carried into the new one rather than quietly dropped.
Migration & archiving
Moving the record, not just the file.
A migration that drops metadata, version history, audit trail or permissions has not moved the record. It has moved a copy of a file and left the obligation behind. Archiving is the half of this that stays unplanned until a storage bill, a Legal Hold or an application retirement forces the issue.
Assessment
What You Actually Have
Inventory before plan. Volume, age, duplication, ownership, content type and obligation, measured across the estate rather than estimated from a sample. Most migration overruns are scoping failures, not technical ones.
Design
Target Model Before Target Platform
Classification, retention, security and metadata mapped in the destination first. Content is then mapped to the model rather than lifted folder for folder into a structure that repeats the original problem.
Execution
What Has to Survive the Move
Metadata, version history, audit trail, permissions and links carried across and proven by reconciliation rather than by spot check. Phased cutover, with the source placed in read only before it is retired.
Archiving
Active, Inactive, Archived
A tiering model that decides what stays in the working system, what moves to lower cost archival storage, and what is eligible for disposition. Retention and Legal Hold follow the content into the archive instead of being lost at the boundary.
Archiving
Application Retirement
Applications kept alive only because of the data trapped inside them. We extract the records with their context, place them under the Retention Schedule, and shut the application down, which often pays for the engagement on its own.
Archiving
Defensible Destruction
The end of the lifecycle, evidenced. Disposition run under approved schedules, with certificates, exception handling for holds, and an audit trail showing what was destroyed, when, and under whose authority.
Agreements & legal
Obligations outlive the signature.
Signature is the visible part, so it gets solved first. What survives execution is the harder problem. Renewal dates, notice periods, indemnity caps, service credits and the commitments your own organization took on all live inside a document nobody has opened since it was signed.
Intake
Intake Is an Inbox
Structured intake capturing counterparty, value, term and risk category before legal opens anything. Routing is decided on data rather than on whoever happened to read the email first.
Lifecycle
Clause Libraries and Playbooks
Standard positions and pre-approved fallbacks configured so routine agreements move without counsel touching every one, and the agreements that genuinely need review are the ones that reach a lawyer.
Obligations
The Dates That Cost Money
Renewals, notice windows and milestones extracted at execution and surfaced before they matter. An auto renew nobody noticed is one of the most expensive administrative failures in an organization, and it is entirely preventable.
Discovery
Legal Hold and eDiscovery
Holds that apply and release cleanly, with collection, processing and review scoped so volumes are handled by classification rather than document by document.
Integration
Agreements Connected to Finance
Contract data joined to the records estate, to finance and to the vendor master, so a signed agreement updates the obligation register and the contract file at once instead of being rekeyed into both.
Specialists
Platform Specialists on the Engagement
Contract Lifecycle work is staffed with a dedicated specialist in whichever platform you have standardized on. Configuration depth on that product matters more here than general content management experience does.
Where this depth comes from
Two decades of regulated delivery.
Enterprise and government buyers usually arrive here by referral. This is the one place the background leads rather than hides.
Records
Records and eDiscovery
Classification, Retention Schedules, Legal Holds and Defensible Disposition across large document estates in regulated environments.
Content
Capture and Contracts
High volume document capture and Intelligent Document Processing, and Contract Lifecycle from intake through renewal and audit.
Platforms
Deep on Few Platforms
A small number of enterprise content platforms worked to real configuration depth, plus the Line of Business systems around them. Deep enough to tell you when the platform is not the problem.
Disciplines
Nine disciplines, worked in depth.
These are the areas we are actually called in for. Not a capability matrix. Each one has been delivered end to end inside regulated organizations, and each one is a place an engagement can start.
Architecture
Content Platform Architecture
Site and hub design, content types, permission models and Information Architecture that scales past the first year. From file shares nobody can search to a structure that holds when the org chart changes.
Governance
Information and Data Governance
Retention Schedules, Classification Taxonomies, Compliance Frameworks and Records Management programs. The bedrock everything else sits on, built AI ready from the start rather than retrofitted afterward.
Records
Enterprise Content Management
Content repositories, metadata schemas, Retention Schedules and Records Lifecycle programs across every major platform, not just the one a vendor wants to sell you.
Data
Data Architecture and MDM
Where every core data entity lives, who owns it, and how it moves between systems. MDM strategy from a single governed master list for a growing organization up to enterprise grade platforms.
Integration
System to System Integration
Interfaces between Line of Business applications designed as a deliberate architecture rather than accumulated point to point connections that nobody can safely change.
Capture
Intelligent Capture and Automation
Centralized and decentralized capture, Digital Mail Rooms, Invoice Automation and Intelligent Document Processing. Scanning, classification and metadata extraction feeding straight into the content system.
Legal
Legal Support and eDiscovery
Contract Lifecycle, eDiscovery and Legal Hold. Collection, processing, analysis, review and production of large volumes of Electronically Stored Information, handled by classification rather than document by document.
Automation
Workflow and Process Automation
Replacing spreadsheet driven process with automated flows, digital forms and integrated business logic. Approvals, notifications and handoffs that run themselves across the tools already in place.
AI
AI Augmented Workflows
AI readiness assessment, Intelligent Document Processing, AI driven classification, and the move from traditional content management to Intelligent Information Management with analytics.
Alongside these sits application training and a Center of Excellence, because adoption is what decides whether any of the above returns anything. Users and support staff equipped and committed, not trained once and left.
Already built
Patterns already built and running.
Working patterns rather than concepts. Each one came out of a real engagement and each one can be configured again for a different organization.
Inbound Mail
Digital Mailroom
Built during the pandemic when nobody could be in the building to open post. Web based intake and distribution of inbound mail across recipients and locations, under strict security, with instant notification and workflow triggered on arrival.
People and Process
Automated Onboarding
Hire paperwork, training records and certifications brought into one flow with Intelligent Capture and auto classification. Records standards and existing Line of Business data do the work, so manual entry drops rather than moves somewhere else.
Secure Exchange
Legal Deal Rooms
Virtual Data Rooms built from applications the organization already owns. Secure document exchange with full audit trails, so stakeholders can view, edit and share from anywhere without the material leaving a controlled environment.
Forms and Workflow
Automated Claims
Applications, sales orders, claims and onboarding packets. Intake to approval to archive, with intelligent data extraction, customizable workflow rules and output in formats the downstream databases already accept.
Ready to scope it?
Start with a fixed assessment.
Six named assessments turn any of the work above into a defined first engagement, with a clear finding and a path forward rather than an open ended project.
- Before You Buy Another System™
- Fix the Information First
- Migration Rescue
- Environment Health Check
- Pre-Procurement & Requirements
- Post-Implementation Cleanup
How we work
Assessment through managed service.
One accountable path. The people who assessed the problem stay answerable for what gets built on top of it.
01
Assessment
Understand the records, the data, the systems, the integrations and the obligations the organization operates under.
02
Architecture
Design the taxonomy, retention, security model, Master Data and Information Architecture to fit them.
03
Implementation
Migrate, integrate, configure and capture, on whichever platforms the organization has standardized on.
04
Managed Service
Keep it healthy. Governance is not a project you finish. It is a standard you hold.
Bring us a hard information problem.
Governance, Master Data, an architecture that has outgrown itself, or a migration nobody wants to own. We will tell you plainly what it takes to make it defensible.
Official partnerships
Claude Partner NetworkAnthropic
EzeScan Certified PartnerOutback Imaging
Microsoft Cloud PartnerMicrosoft
Managed Services ProviderMicrosoft
Enterprise and government delivery across the US and internationally. One accountable owner from first assessment through handover.